tag:blogger.com,1999:blog-67384191361618456622024-03-14T01:03:41.144-07:00FannToolbirol kuyumcuhttp://www.blogger.com/profile/09572588641225833614noreply@blogger.comBlogger47125tag:blogger.com,1999:blog-6738419136161845662.post-85286910141271364822016-06-04T01:26:00.000-07:002016-06-04T01:26:29.586-07:00A new approach to turbid water surface identification for autonomous navigation<br />
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" /><br />
Navigation of autonomous vehicles in natural environments based on image processing is certainly a complex problem due to the dynamic characteristics of aquatic surfaces, such as brightness and color saturation. This paper presents a new approach to identify turbid water surfaces based on their optical properties, aiming to allow automatic navigation of autonomous vehicles regarding inspection, mitigation and management of aquatic natural disasters. More specifically, computer vision techniques were employed in conjunction to artificial neural networks (ANNs), in order to build a classifier designed to generate a navigation map that is interpreted by a state machine for decision making. To do so, a study on the use of different features based on color and texture of such turbid surfaces was conducted. In order to compress the extracted information, Principal Component Analysis (PCA) was performed and its results were used as inputs to ANN. The whole developed approach was embedded in an aquatic vehicle, and results and assessments were validated in real environments and different scenarios.<br />
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" 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" 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In order to evaluate the developed approach for autonomous navigation in a real environment, it was embedded in an aquatic vehicle. We build and develop our approach using the programming language C, with support of OpenCV library, OpenMP for multiprocessing programming, and Fast Artificial Neural Network Library (FANN), a free library that implements an ANN multilayer in language C [26]. The hardware used was a Raspberry Pi board (RPI) model 2 and a Raspberry camera. Figure 11-(b) presents the prototype of the aquatic vehicle with the RPI board and camera connected.<br />
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<a href="http://wscg.zcu.cz/wscg2016/short/E97-full.pdf">Link :</a><br />
Mateus Eugênio Colet, Adriana Braun, Isabel H. Manssour <br />PUCRS, Faculdade de Informática <br />Porto Alegre, RS, Brazil<br />
birol kuyumcuhttp://www.blogger.com/profile/09572588641225833614noreply@blogger.com0tag:blogger.com,1999:blog-6738419136161845662.post-44963334069882266802016-06-04T01:08:00.000-07:002016-06-04T01:09:22.892-07:00Methods and Systems for Representing a Degree of Traffic Congestion Using a Limited Number Of Symbols<img alt="" height="206" 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" 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<br />
Method of creating a computerized model for computing values representative of traffic congestion in respect of a geographic area for use in representing a degree of traffic congestion in the geographic area using a limited number of symbols, comprising: retrieving, in respect of roads within geographic area, historical traffic data and values representative of traffic congestion; deriving a computerized model for computing values representative of traffic congestion in respect of roads within the geographic area based on the retrieved information. Method of representing a degree of traffic congestion in a geographic area using a limited number of symbols, comprising: receiving recent traffic and weather data including one of recent average vehicle speed and recent average vehicle transit time and two of temperature, relative humidity, barometric pressure, and cloud cover; and computing a value representative of traffic congestion using the recent traffic and weather data and a trained artificial neural network.<br />
....<br />
The method by which the above noted representations of the degrees of
traffic are derived uses what is known in the art as “an artificial
neural network” or sometimes simply “a neural network”. A neural network
is a mathematical model inspired by biological neural networks. In this
present implementation, the neural networks used are the “Fast
Artificial Neural Network”<br />
<br />
United States Patent Application 20160124906 <br />
<div class="disp_elm_title">
Inventors: Karpov, Victor Vladimirovich (Moscow, RU) </div>
<br />
<a href="http://www.freepatentsonline.com/y2016/0124906.html">Link : </a>birol kuyumcuhttp://www.blogger.com/profile/09572588641225833614noreply@blogger.com0tag:blogger.com,1999:blog-6738419136161845662.post-51542711716631506762016-06-04T00:46:00.001-07:002016-06-04T00:52:21.717-07:00Electric Vehicle Charger Managment System For Interoperabilty Charging FacilitiesAbstract <br />
This paper designs and develops a real-time charger management system which keeps collecting the status information from chargers and converts control messages from the total operation center to a command predefined for charger control. RF cards complete the service chain from electric vehicles to the operation center, making the information flow bidirectional. The extended coverage of the operation control over the charging infrastructure allows an easy payment for the charging fee, based on the membership management and personalized services. A web application is implemented on the digital map of the target city for users to retrieve necessary information from the system and find the best service and chargers. The massive amount of real-time charger monitoring data is being accumulated in the database, and big data analysis will allow us to make intelligent plans for future smart grid city services<br />
<br />
Junghoon Lee ,Gyung-Leen Park<br />
Dept. of Computer Science and Statistics, Jeju National University<br />
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" /><br />
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The time series of currently 78 days is converted to a set of learning patterns of a neural network model. The FANN library defines the text file format for learning patterns and trace sequences. Based on this forecast model, we trace the previous behaviors of the number of daily records. Here, the solid line is the traced utilization pattern, and it finds the overall trend in the time series. It is expected that the forecast model will be improved with more data.<br />
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<a href="http://www.jurnalteknologi.utm.my/index.php/jurnalteknologi/article/viewFile/8776/5207">Download </a>birol kuyumcuhttp://www.blogger.com/profile/09572588641225833614noreply@blogger.com0tag:blogger.com,1999:blog-6738419136161845662.post-71998764136769145302015-10-08T23:08:00.003-07:002016-06-04T00:52:40.764-07:00The Use of Artificial Neural Networks to Assess the Capacity of Transport Measures<br />
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" width="400" /><br />
<br />
In the area of logistics management both managers and engineers rely primarily on proven computational<br />
algorithms, for this reason, it is often difficult to convince them to the use of artificial neural networks in solving decision problems. The paper presents the possibilities of using the FANN library in building of a computer application applied in the area of logistics. The possibilities of the component are presented on the example of applications of artificial neural networks to estimate the capacity of transport vehicles based on their dimensions. The example presented in the work was solved with the use of a multi-network Layered Perceptron. The example depicted not only the possibility of using artificial neural networks for solving poorly structured tasks but also practical application of the TFannNetwork component.<br />
....<br />
<br />
Fast Artificial Neural Network library (FANN) is an open-source project that implements a<br />
multi-layer one-way neural network networks with support for both full and weakly<br />
connected networks [14]. FANN is easy to use, comprehensive, well documented and fast in<br />
acting [15], [16]. There are links to over 15 programming languages, including Delphi 7<br />
program.<br />
TFannNetwork is a component of Delphi (created by Pereira Maia) that connects the<br />
application with FANN library. Undoubtedly it is not necessary to install TFannNetwork to<br />
use FANN in Delphi but the component makes the library more friendly for Delphi<br />
environment [14].<br />
<br />
<a href="http://www.degruyter.com/view/j/sspjce.2015.10.issue-1/sspjce-2015-0005/sspjce-2015-0005.xml">The Use of Artificial Neural Networks to Assess the Capacity of Transport Measures</a><br />
<br />
Artur Duchaczek / Dariusz Skorupka<br />
<br />
General Tadeusz Kościuszko Military Academy of Land Forces Faculty of Management<br />
<br />
SSP - JOURNAL OF CIVIL ENGINEERING Vol. 10, Issue 1, 2015<br />
<br />
<br />birol kuyumcuhttp://www.blogger.com/profile/09572588641225833614noreply@blogger.com0tag:blogger.com,1999:blog-6738419136161845662.post-75610596358272186582015-10-08T22:55:00.000-07:002015-10-08T22:55:24.942-07:00Staged Tuning: A Hybrid (Compile/Install-time) Technique for Improving Utilization of Performance-asymmetric Multicores<br />
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<img alt="" 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" /><br />
<br />
<br />Emerging trends towards performance-asymmetric multicore pro-<br />cessors (AMPs) are posing new challenges, because for effective<br />utilization of AMPs, code sections of a program must be assigned<br />to cores such that the resource needs of the code sections closely<br />match the resources available at the assigned core. Computing<br />this assignment can be difficult especially in the presence of un-<br />known or many target AMPs. We observe that finding a mapping<br />between the code segment characteristics and the core character-<br />istics is inexpensive enough, compared to finding a mapping be-<br />tween the code segments and the cores, that it can be deferred un-<br />til installation-time for more precise decision. We present staged<br />tuning which combines extensive compile time analysis with in-<br />telligent binary customization at install-time. Staged tuning is like<br />staged compilation, just for core assignment. Our evaluation shows<br />that staged tuning is effective in improving the utilization of AMPs.<br />We see a 23% speedup over untuned workloads.<br />
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<img alt="" 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" /><br />
.....<br />
Neural Network Training<br />We use the FANN library [32] for constructing and training our neural networks. In our experiments,we compute a grouping (i.e., core assignment) for each individual benchmark.<br />
<br />
<a href="http://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1371&context=cs_techreports">Staged Tuning: A Hybrid (Compile/Install-time) Technique for Improving Utilization of Performance-asymmetric Multicores</a><br />
<br />tyler Sondag ( Intel Labs ) Hridesh Rajan ( Iowa State University ) <br />
birol kuyumcuhttp://www.blogger.com/profile/09572588641225833614noreply@blogger.com0tag:blogger.com,1999:blog-6738419136161845662.post-9021897713510768502015-06-23T00:03:00.000-07:002015-06-23T00:03:30.727-07:00YSA ile Maç Sonucu TahminiYSA ile Maç Sonucu Tahmini<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgYdWna_SFrqHXQX7_bfmR6iKbPXuCDX-Wgqr6l_hTuPkMbJfihBczlFhSj9qeOfP7IGRf27GpnRBo52E-glAEFOoUBUlrvgEPwUp17AIPs0lKkYKCBEAaC32Q8U1IrF9WOc4Vmj6b14MQA/s1600/futbol.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="238" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgYdWna_SFrqHXQX7_bfmR6iKbPXuCDX-Wgqr6l_hTuPkMbJfihBczlFhSj9qeOfP7IGRf27GpnRBo52E-glAEFOoUBUlrvgEPwUp17AIPs0lKkYKCBEAaC32Q8U1IrF9WOc4Vmj6b14MQA/s400/futbol.jpg" width="400" /></a></div>
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Bu çalışmada FannTool kullanarak Futbol Maçları için sonuç tahmini yapan YSA modelinin dizayn edip eğitim ve test aşamaları adım adım açıklanmış, sonuçlar değerlendirilmiştir.
Öncelikle dizayn edeceğimiz YSA modeli için problemi tanımlayalım. Futbol maçlarının olası 3 sonucu vardır; Galibiyet Beraberlik Mağlubiyet. Girdi olarak Ev Sahibi ve Misafir takıma ait sezon boyunca oynadığı maçlar sonucunda çıkan 9 farklı performans kriteri kullanılacaktır. YSA dan beklenen eğitim sonunda soru olarak verilen Ev Sahibi ve Misafir Takım performansları için muhtemel maç sonucunu hesaplamak.<br />
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....<br />
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Her ne kadar Futbol maçları sonuçlarını yüksek doğrulukla tahmin edemesek te Yapay Sinir Ağlarının, FANN kütüphanesinin, FanntTool yazılımının her alanda nasıl kullanılabileceğine örnek olabilecek bir çalışma yapmış olduk.<br />
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KARAR DESTEK SİSTEMLERİ DERSİ<br />
FİNAL ÖDEVİ<br />
YAPAY SİNİR AĞLARI UYGULAMASI<br />
İdris AKBIYIK
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<a href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fhuy63qjpv14ce2q%2FFinal.rar%3Fdl%3D0&sa=D&sntz=1&usg=AFQjCNFjePfn-x3AFQ0J4qUp4UhicjX0dg">Download</a> ;
birol kuyumcuhttp://www.blogger.com/profile/09572588641225833614noreply@blogger.com0tag:blogger.com,1999:blog-6738419136161845662.post-29395102264989709132015-03-13T01:02:00.000-07:002015-03-13T01:04:28.984-07:00Integration of Neonatal Mortality Prediction Models into a Clinical Decision Support SystemIntegration of Neonatal Mortality Prediction Models into a Clinical Decision Support System<br />
by<br />
Hasmik Martirosyan, B.Sc.<br />
<br />
A thesis submitted to the Faculty of Graduate and Postdoctoral Affairs<br />
in partial fulfillment of the requirements for the degree of<br />
Master of Applied Science<br />
in<br />
Biomedical Engineering<br />
Ottawa - Carleton Institute for Biomedical Engineering (OCIBME)<br />
Carleton University<br />
Ottawa, Ontario © 2015<br />
<br />
<a href="https://curve.carleton.ca/system/files/theses/32040.pdf">https://curve.carleton.ca/system/files/theses/32040.pdf</a> <br />
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Yenidoğan Ölüm Tahmin Modellerinin Klinik Karar Destek Sistemine Entegrasyonu.<br />
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<br />
Abstract<br />
This thesis describes the development of neonatal mortality risk estimation models using Artificial Neural Networks (ANNs), the integration of these models into the Physician-Parent Decision Support (PPADS) tool, and the pilot study to test the PPADS tool.<br />
A set of data mining programs were created to automate the data preparation, the development of ANN models and the selection of models that satisfy the usefulness criteria specified by our clinician partners. These programs were used to classify neonatal mortality data (6% mortality rate) with the average sensitivity and specificity of 81% and 98% respectively.<br />
The mortality models were integrated with the PPADS tool to provide predictions about the risk of mortality for neonates admitted to the Neonatal Intensive Care Unit (NICU).<br />
The observational and survey study conducted with parents whose infant did not graduate (died) from the NICU gave encouraging results regarding the usefulness of the PPADS tool.<br />
....<br />
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Fast Artificial Neural Network library<br />
In order to create ANN models, and make predictions in real time environment, we have explored several open sources libraries. We found the Fast Artificial Neural Network (FANN) library to be suitable to our work for the following reasons: firstly, the library implements feed-forward networks, which our research group has identified to be well performing machine learning methods for our medical datasets; secondly, the fast performance is one of the main features of the library, which is important in processing and analyzing real-time data; lastly, the library is implemented in C language which makes the FANN library based applications compatible with many software environments and portable to many different computer architectures or platforms (Nissen, 2007), (FANN, 2014).<br />
....<br />
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<br />birol kuyumcuhttp://www.blogger.com/profile/09572588641225833614noreply@blogger.com0tag:blogger.com,1999:blog-6738419136161845662.post-11407579518743210612014-11-22T00:09:00.001-08:002015-02-19T05:24:14.610-08:00Forcasting EarthQuake by usining ANN Theory of the gravitational interaction between the solar system bodies and our planet earthquake system.<br />
By <a href="https://independent.academia.edu/MarcoFranzini">M. Franzini </a><br />
<br />
<br />
a connection between the moviments of some stars and planets and sun and moon, and finally with vulcans eruptions, and in special mode earthquakes.<br />
so...is there really a scentific connection between the body of our solar system and the earthquakes on our planet<br />
<a href="https://www.academia.edu/9168537/earthquake_and_gravitational_interactions">report</a> and <a href="https://www.academia.edu/9168564/exemple_of_succesfull_preview_of_earthquakes_by_planets_interactions">examples </a><br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgSJBw-wSq3CL70zuq6zSfqaZyYoyCfP56YiUCtxjSRYxkdRjyvoM2J4A5trzI78-Na1GCkJV5PFT1VaLza2NSTPecjelehZrLctn-UrS-BtkG6hyphenhyphen2O8Ww4MRLKUwL_rN48niutQOiLewEk/s1600/Eathquake.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgSJBw-wSq3CL70zuq6zSfqaZyYoyCfP56YiUCtxjSRYxkdRjyvoM2J4A5trzI78-Na1GCkJV5PFT1VaLza2NSTPecjelehZrLctn-UrS-BtkG6hyphenhyphen2O8Ww4MRLKUwL_rN48niutQOiLewEk/s1600/Eathquake.jpg" height="198" width="400" /></a></div>
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<br />
...<br />
At the beginning we used an open source software called Fanntool, under Linux platform. Very well known and stable project.<br />
Then we felt the needs to use a muti-Processing Neural-network tool. We developed a personal tool that we built for our purpose, that can use multiple CPU on the same time.<br />
<br />
<a href="https://sites.google.com/site/earthquakewatchdog/home">https://sites.google.com/site/earthquakewatchdog/home</a> birol kuyumcuhttp://www.blogger.com/profile/09572588641225833614noreply@blogger.com0tag:blogger.com,1999:blog-6738419136161845662.post-73690170910589553542014-10-17T04:01:00.000-07:002014-10-17T04:01:10.059-07:00Artificial Neural Network Approach to Mobile Robot LocalizationArtificial Neural Network Approach to Mobile Robot Localization<br />
David Swords<br />
Aalto University / School of Electrical Engineering<br />Department of Automation and Systems Technology<br /><a href="https://pure.ltu.se/portal/files/41443378/LTU-EX-2012-41282150.pdf">Thesis</a> submitted in partial fulfillment of the requirements for the degree of<br />Master of Science in Technology<br />
<br />
In the robotics community, localization is considered a solved problem, however, the topic is still open to investigation. Mobile robot localization has been focused on developing low-cost approaches and there has been great success using probabilistic methods. Parallel to this, and to a much lesser extent, artificial neural networks (ANNs) have been applied to the problem area with varying success.<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjNukq0bfexFha2TWjskZp58nuoek-QGAY7kYcfsNA9rlUbfjiHuIxPCwxmTkfPYjtU2CbxU8IbTt6jYO7J4DB2rmweMhYcEoZMRIYmXDHXKmcCV9m5MuWuHmvb3k3o5CbEAb8MgP-ZWNkN/s1600/Rbt1.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjNukq0bfexFha2TWjskZp58nuoek-QGAY7kYcfsNA9rlUbfjiHuIxPCwxmTkfPYjtU2CbxU8IbTt6jYO7J4DB2rmweMhYcEoZMRIYmXDHXKmcCV9m5MuWuHmvb3k3o5CbEAb8MgP-ZWNkN/s1600/Rbt1.jpg" height="313" width="400" /></a></div>
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A system is proposed in this thesis where the typical probabilistic approach is replaced with one based purely on ANNs. This type of localization attempts to harness the simplicity, scalability and adaptability that ANNs are known for. The ANN approach allows for the encapsulation of a number of steps and elements well known in a probabilistic approach, resulting in the elimination of an internal explicit map, providing pose estimate on network output and network update at runtime.<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj0NkOMqaCPLWPTbTKrBnBpUGLCOv8QYSNrooA5YJwUzEPOv7TAbKOD4RLs2RDPGa9900RAu6kR-nk69jvdZCLhjvc5YDKE7s4ovWhcOHlBRBYUxUVW93ZSjPePZJw65vryWrcPlfRsjiYG/s1600/Rbt2.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj0NkOMqaCPLWPTbTKrBnBpUGLCOv8QYSNrooA5YJwUzEPOv7TAbKOD4RLs2RDPGa9900RAu6kR-nk69jvdZCLhjvc5YDKE7s4ovWhcOHlBRBYUxUVW93ZSjPePZJw65vryWrcPlfRsjiYG/s1600/Rbt2.jpg" height="297" width="400" /></a></div>
First, a coordinate-based approach to localization is explored: 1D and 2D trained maps with pose estimates. Second, the coordinate-based approach is eliminated in an effort to replicate a more biologically inspired localization. Finally, a path-finding algorithm applying the new localizaiton approach is presented<br />
....<br />
The FANN library (FANN) provides tools implementing, designing, visualizing<br />and simulating ANNs.<br />...<br />FANN provides many commandline functions and visualization tools for creating,<br />training and simulating ANNs. With the availablity of visualization tools,<br />like FANNTool, make it much easier to deveop ANNs and applying them to<br />common tasks like curve fitting, pattern recognition, and clustering.<br />...<br />FANNTool is a GUI to the FANN library which allows ease of use without the<br />need to program the function calls necessary to perform simple tasks. FANNTool<br />is an open source project, supported by a community of FANN users.birol kuyumcuhttp://www.blogger.com/profile/09572588641225833614noreply@blogger.com0tag:blogger.com,1999:blog-6738419136161845662.post-57130854317394656802014-10-14T02:14:00.000-07:002014-10-14T02:17:42.171-07:00Competing visions? Simulating alternative coastal futures using a GISANN web applicationPaulo Morgado*, Eduardo Gomes, Nuno Costa<br />
Centre of Geographic Studies, Institute of Geography and Spatial Planning of the University of Lisbon, 1600 Lisboa, Portugal<br />
<br />
<a href="http://www.sciencedirect.com/science/article/pii/S0964569114003032"> Competing visions? Simulating alternative coastal futures using a GISANN web application</a><br />
<br />
In this paper, we demonstrate the use of scenario building in the context of contested land use visions.<br />
We examine a small coastal community located 20 kms south of Lisbon. In Almada e Trafaria/Costa da<br />
Caparica, competing stakeholders such as central government, local government, environmental NGO's<br />
and private companies each have competing development visions for the area. These include the<br />
development of recreation and leisure facilities, a container terminal and the re-naturalization of unused<br />
land. We illustrate the added value of the GIS-ANN tool in steering negotiations between these different<br />
visions and the potential of a scenario building web application as a tool for problem solving.<br />
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The emergence of user-created GIS-based web content in Planning has transformed passive users and<br />
consumers of geospatial information into active contributors to the development of spatial visions of the<br />
future. It allows stakeholders to gauge alternative future land uses thus making planning and decisionmaking<br />
processes potentially more transparent and democratic. In this paper, we detail a new method<br />
that enhances GIS-web-based public participation. We build on a combination of GIS basic capabilities<br />
and the data mining methods of Artificial Neural Networks (ANN), namely Multilayer Perceptron (MLP)<br />
packaged in a friendly (GUI) user interface that runs on the Google Earth platform. Users will be able to<br />
articulate different spatial development scenarios for a specific area, to conduct sensitivity analyses for various competing scenarios and to explore causal connections between them<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgY_FS7Mfdsmzf-LfV7qH3zFB_EWputMREMHLMTNp2On0x02ctK_PVhbuekQ2FlF3f9nu5O0GTsQLs0i02iqtMe4_17_uB_dABOQQclbuJ77htv-moTvtCRaVnD2M5VvSpWWEVPKm8QPjRh/s1600/map1.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgY_FS7Mfdsmzf-LfV7qH3zFB_EWputMREMHLMTNp2On0x02ctK_PVhbuekQ2FlF3f9nu5O0GTsQLs0i02iqtMe4_17_uB_dABOQQclbuJ77htv-moTvtCRaVnD2M5VvSpWWEVPKm8QPjRh/s1600/map1.jpg" height="191" width="400" /></a></div>
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<br />
To implement a GIS-ANN-MLP model that runs through a Web application we opted for a free open source neural network library, named Fast Artificial Neural Network (FANN). Before implementation, FANN was tested through the <b>FANNTool GUI</b> This enables us to prepare the data in FANN library standard, design, train, test and run the ANN. This enables us to prepare the data in FANN library standard, design, train, test and run the ANN.birol kuyumcuhttp://www.blogger.com/profile/09572588641225833614noreply@blogger.com0tag:blogger.com,1999:blog-6738419136161845662.post-32422891409259509232014-09-09T22:52:00.000-07:002014-09-09T22:56:52.192-07:00First Tests on Near Real Time Ice Type Classification in Antartica<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEibyGRjBx-78J1RrqWEyuIrdwewZA6-_vrj38BfyIvOa0GX2xtBuwqW2igyhRqRxu6eOQyIo9raoIz4_avaVzupDGACBz6DtkqrHDm9Kyr_ry7s2pdtjlpcWOFDyCuk08f13kvVgAc_eCCs/s1600/ice1.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEibyGRjBx-78J1RrqWEyuIrdwewZA6-_vrj38BfyIvOa0GX2xtBuwqW2igyhRqRxu6eOQyIo9raoIz4_avaVzupDGACBz6DtkqrHDm9Kyr_ry7s2pdtjlpcWOFDyCuk08f13kvVgAc_eCCs/s1600/ice1.jpg" height="232" width="400" /></a></div>
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<a href="http://elib.dlr.de/89500/1/2014_Lehner_Krumpen_Frost_Ressel_IGARSS_rev.%20-FullPaper.pdf">In this paper</a>, we explore the capabilities of an algorithm for ice type classification. Our main motivation and exemplary application was the recent incident of the research vessel Akademik Shokalskiy, which was trapped in pack ice for about two weeks. Strong winds had driven ice floes into a bay, forming an area of pack ice, blocking the ship's advancement. High-resolution satellite images helped to assess the ice conditions at the location. To extract relevant information automatically from the images, we apply an algorithm that is aimed to generate an ice chart, outlining the different ice type zones such as pack ice, fast ice, open water.<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhVIYUWL1VTptrXlmzIIz2zIVq-kiHAfTXBCafwNlhUBWw1GPlnET_1NCUm6uizazcIkWCgiV5AgFNvJMziKGiXMOGPiVbsb6JZPW2ro0thsJE8P22X5GftQT8u1lXox4ASi62TUAK6Qrf8/s1600/ice.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhVIYUWL1VTptrXlmzIIz2zIVq-kiHAfTXBCafwNlhUBWw1GPlnET_1NCUm6uizazcIkWCgiV5AgFNvJMziKGiXMOGPiVbsb6JZPW2ro0thsJE8P22X5GftQT8u1lXox4ASi62TUAK6Qrf8/s1600/ice.jpg" height="316" width="320" /></a></div>
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The algorithm is based on texture analysis. Textures are selected that allow recognition of different structures in ice. Subsequently, a neural network performs the classification. Since results are output in near real time, the algorithm offers new opportunities for ship routing in ice infested areas. <br />
....<br />
<br />
For the artificial neural network, we rely on the popular and well-tested FANN library [6]. We use 10 input neurons, two hidden layers with 8 and 9 neurons, respectively. Training procedure is RPROP. The number of output neurons depends on the number of classes. For the scene presented in this paper, we use neurons for each of the following ice types: fast ice, highly deformed pack ice, little deformed pack ice, and open water with high as well as low ice concentration. Land ice was visible in the scene yet was not used in the classification, since it is irrelevant once land masking is applied. FANN output is shown in Figure 6.<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhuTZTnE7hyphenhyphenIxLDSgilGKNYcdSDcyQTDiE-4WtQa_VRmTnsTc98buS1irdKOXTlu8Ajo__nM5cvJoeqs3X3ebcID9Q7rhFkUgGnYfXsIXsdSP2E9MNNC5gjGFwjRV5h1D94OMZgXpYpvj7i/s1600/ice2.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhuTZTnE7hyphenhyphenIxLDSgilGKNYcdSDcyQTDiE-4WtQa_VRmTnsTc98buS1irdKOXTlu8Ajo__nM5cvJoeqs3X3ebcID9Q7rhFkUgGnYfXsIXsdSP2E9MNNC5gjGFwjRV5h1D94OMZgXpYpvj7i/s1600/ice2.jpg" height="175" width="400" /></a></div>
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As can be seen, it coincides well with the real ice conditions noted in Figure 2. Only small parts of the images are misclassified: The left margin of the open water zone is classified as fast ice. The fast ice zone is speckled with “ponds” of open water and pack ice in FANN output.<br />
<br />birol kuyumcuhttp://www.blogger.com/profile/09572588641225833614noreply@blogger.com0tag:blogger.com,1999:blog-6738419136161845662.post-83426175621791599802013-12-01T00:05:00.004-08:002013-12-01T00:05:57.923-08:00Performance Evaluation of Lateration, KNN and Artificial Neural Networks Techniques Applied to Real Indoor Localization in WSN<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgFQHEXgOKJZsEuvVpT-bTbnM8RfQHAQJIGQsLxeEBIBiR_xua6n16spSLpWx1ndDqN2LluUGjzJalIXHaqqWtYnlY9DAU5xDgWbOzgU2Wif3dWSTXlBcgtnQVY0h-k5C8ZWoZq-2sFWdyg/s1600/RposEstPos1.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="212" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgFQHEXgOKJZsEuvVpT-bTbnM8RfQHAQJIGQsLxeEBIBiR_xua6n16spSLpWx1ndDqN2LluUGjzJalIXHaqqWtYnlY9DAU5xDgWbOzgU2Wif3dWSTXlBcgtnQVY0h-k5C8ZWoZq-2sFWdyg/s400/RposEstPos1.jpg" width="400" /></a></div>
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<br />
Leomário Machado, Mauro Larrat and Dionne Monteiro<br />Research Group on Computer Networks and Multimedia Communication<br />Federal University of Para – UFPA<br />Belém/PA - Brazil<br /><br />Abstract-In Wireless Sensor Networks, several protocols and algorithms seek to prolong the network lifetime; among them, the localization algorithms are used as an accessory to provide the smallest distances for sending messages.<a href="http://www.thinkmind.org/download.php?articleid=innov_2013_2_30_60034"> This paper</a> compares the Lateration, KNN and ANN as localization techniques to estimate planar coordinates using the RSSI in an indoor environment using a real WSN based on IRIS motes. The results show that a well worked out ANN is superior to Lateration and KNN.<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhePYmPkPmYYprttaSY2xqlgSVT-im92GKvRxpNLbhRREjC5RzglBjG9ZnOE2J3naGNDzx6tNTeZKyvXMGmeSBOuohl53_vY7GktXI1_E3GKzRVOi2OI3_VKgLNhFTibAcKTbn8HPGGpX9t/s1600/RposEstPos2.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="212" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhePYmPkPmYYprttaSY2xqlgSVT-im92GKvRxpNLbhRREjC5RzglBjG9ZnOE2J3naGNDzx6tNTeZKyvXMGmeSBOuohl53_vY7GktXI1_E3GKzRVOi2OI3_VKgLNhFTibAcKTbn8HPGGpX9t/s400/RposEstPos2.jpg" width="400" /></a></div>
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Our application of ANN used for the localization of nodes in WSN is accomplished through the acquisition of RSSI from the messages sent from each node. Subsequently, these data are used to train and validate the network. For each location point, the mean and standard deviation are calculated to identify the 10% worst samples. With this, only accurate samples are used to train the ANN. To train the ANN, the collected points (x, y) are normalized maintaining those data output values between 0 and 1. To define the architecture of the ANN, several tests are done to achieve a satisfactory configuration of the ANN, i.e., number of hidden layers, number of neurons in each layer, activation function for each layer or neuron and training algorithm.<br />birol kuyumcuhttp://www.blogger.com/profile/09572588641225833614noreply@blogger.com0tag:blogger.com,1999:blog-6738419136161845662.post-21138797549423701892013-11-07T02:42:00.000-08:002013-11-07T02:42:31.818-08:00ESTIMATIVE OF ULTRAVIOLET SOLAR RADIATION IN BOTUCATU/SP/BRAZIL UTILIZING MACHINE LEARNING TECNICS.<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjHIZGQeTcVWahvrAHDlp-htkJKyNNEtUuiYkKgnqjAscVENBRM_8YWQ_GtXhuaRqjIVNQM_do7SDAOOvCdq4iGO1wsWiI2JNAlf5Ccf_wkxL4A3xdCHxBRzAauaaaam_kOwODVbEZAf-xQ/s1600/Solar.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="226" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjHIZGQeTcVWahvrAHDlp-htkJKyNNEtUuiYkKgnqjAscVENBRM_8YWQ_GtXhuaRqjIVNQM_do7SDAOOvCdq4iGO1wsWiI2JNAlf5Ccf_wkxL4A3xdCHxBRzAauaaaam_kOwODVbEZAf-xQ/s320/Solar.jpg" width="320" /></a></div>
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Botucatu, 2013. XXXp. Dissertação (Mestrado em Agronomia / Energia na Agricultura) – Faculdade de Ciências Agronômicas, Universidade Estadual Paulista.<br />Author: THIAGO DO NASCIMENTO SANTANA DE ALMEIDA<br /><br />SUMMARY<br />
<a href="http://www.pg.fca.unesp.br/Teses/PDFs/Arq0886.pdf">In this papper</a> is evaluated the estimation of daily solar ultraviolet radiation (UV) using machine learning techniques in Botucatu / SP / Brazil. To develop the model was utilized the artificial neural networks with linear function, the support vector machine with linear function and with RBF function. As input to each of the techniques, were tested five groups containing different weather variables measured as routine in Botucatu radiometry solar station.<br />birol kuyumcuhttp://www.blogger.com/profile/09572588641225833614noreply@blogger.com0tag:blogger.com,1999:blog-6738419136161845662.post-77443578852744137712013-09-21T06:02:00.002-07:002013-09-21T06:02:50.089-07:00Novel Patterns and Methods for Zooming Camera Calibration<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgtKRzObT5eRjNC19EFnAtzQYTNvWihk2jpm5esfPh77nlTGYGk8FCpFv0Xc9llFt5IPSuiwu07iDBk1vmpB9XLmzCDgta5sl91SLh2SjVPCf1K_FUeQamG__T4dFKQIwh2QOhuq8RcBipq/s1600/CamCalb0.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="196" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgtKRzObT5eRjNC19EFnAtzQYTNvWihk2jpm5esfPh77nlTGYGk8FCpFv0Xc9llFt5IPSuiwu07iDBk1vmpB9XLmzCDgta5sl91SLh2SjVPCf1K_FUeQamG__T4dFKQIwh2QOhuq8RcBipq/s400/CamCalb0.jpg" width="400" /></a></div>
<a href="http://www.researchgate.net/publication/250308768_Novel_Patterns_and_Methods_for_Zooming_Camera_Calibration/file/72e7e51ea6e9eef3a4.pdf">Novel Patterns and Methods for Zooming Camera Calibration</a><br />Andrea Pennisi, Domenico Bloisi, Claudio Gaz, Luca Iocchi, Daniele Nardi<br />Department of Computer, Control, and Management Engineering<br />Sapienza University of Rome<br />via Ariosto 25<br />00185, Rome, Italy<br />
In Journal of WSCG, volume 21, 2013.<br /><br />Camera calibration is a necessary step in order to develop applications that need to establish a relationship between image pixels and real world points. The goal of camera calibration is to estimate the extrinsic and intrinsic camera parameters. Usually, for non-zooming cameras, the calibration is carried out by using a grid pattern of known dimensions (e.g., a chessboard). However, for cameras with zoom functions, the use of a grid pattern only is not sufficient, because the calibration has to be effective at multiple zoom levels and some features (e.g., corners) could not be detectable. In this paper, a calibration method based on two novel calibration patterns, specifically designed for zooming cameras, is presented. The first pattern, called in-lab pattern, is designed for intrinsic parameter recovery, while the second one, called on-field pattern, is conceived for extrinsic parameter estimation. As an application example, on-line virtual advertising in sport events, where the objective is to insert virtual advertising images into live or pre-recorded television shows, is considered. A quantitative experimental evaluation shows an increase of performance with respect to the use of standard calibration routines considering both re-projection accuracy and calibration time.<br /><br />...<br />The second video, that contains the “+” sign captured at different zoom levels, is used to refine the calibration<br />parameters, in particular, the principal point (u;v) and the focal lengths fx and fy, and the radial distortion<br />coefficients k1 and k2 are considered. For regularizing these parameters an Artificial Neural Network (ANN) based approach [<b>FANN Fast Artificial Neural Networks</b> ] is used. Two different ANNs have been implemented, the former for managing the lower zoom levels, the latter for the higher ones.birol kuyumcuhttp://www.blogger.com/profile/09572588641225833614noreply@blogger.com0tag:blogger.com,1999:blog-6738419136161845662.post-87424372556029081852013-08-28T23:28:00.000-07:002013-09-11T00:14:20.831-07:00Prediction of the energy values of feedstuffs for broilers using meta-analysis and neural networks<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj1LBnofuKoNTdRRpQq6nBi1ba_w4-clgDLrVdcPiBb_CdqHBrw8rJKGzdNa0qPRs4eJbrXx-gCWzN87xkXF9BRvVuwigCgTc06HL61Dniy0jj_odHMye2B_tw4Y3hTDluvKUwyUeoZA7QP/s1600/chicken.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="236" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj1LBnofuKoNTdRRpQq6nBi1ba_w4-clgDLrVdcPiBb_CdqHBrw8rJKGzdNa0qPRs4eJbrXx-gCWzN87xkXF9BRvVuwigCgTc06HL61Dniy0jj_odHMye2B_tw4Y3hTDluvKUwyUeoZA7QP/s320/chicken.jpg" width="320" /></a></div>
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Prediction of the energy values of feedstuffs for broilers using meta-analysis and neural networks</div>
<div style="font-size: 11px;">
<b>F. C. M. Q. Mariano,C. A. Paixão,R. R. Lima,R. R. Alvarenga,P. B. Rodrigues and G. A. J. Nascimento (2013). </b><br />
<a href="http://journals.cambridge.org/action/displayJournal?jid=ANM">animal</a>, <a href="http://journals.cambridge.org/action/displayJournal?jid=ANM&volumeId=7&bVolume=y#loc7%3E">Volume 7</a>, <a href="http://journals.cambridge.org/action/displayIssue?jid=ANM&volumeId=7&issueId=09&seriesId=0">Issue09</a>, September 2013 pp 1440-1445<br />
<a href="http://journals.cambridge.org/action/displayAbstract?aid=8962130">http://journals.cambridge.org/action/displayAbstract?aid=8962130</a><br />
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<div class="section-title">
<h4>
<span style="font-size: small;">Abstract</span></h4>
</div>
<span style="font-size: small;">Several researchers have
developed prediction equations to estimate the metabolisable energy (ME)
of energetic and protein concentrate feedstuffs used in diets for
broilers. The ME is estimated by considering CP, ether extract, ash and
fibre contents. However, the results obtained using traditional
regression analysis methods have been inconsistent and new techniques
can be used to obtain better estimate of the feedstuffs’ energy value.
The objective of this paper was to implement a multilayer perceptron
network to estimate the nitrogen-corrected metabolisable energy (AMEn)
values of the energetic and protein concentrate feeds, generally used by
the poultry feed industry. The concentrate feeds were from plant
origin. The dataset contains 568 experimental results, all from Brazil.
This dataset was separated into two parts: one part with 454 data, which
was used to train, and the other one with 114 data, which was used to
evaluate the accuracy of each implemented network. The accuracy of the
models was evaluated on the basis of their values of mean squared error,
<i>R</i>
<sup>2</sup>, mean absolute deviation, mean absolute
percentage error and bias. The 7-5-3-1 model presented the highest
accuracy of prediction. It was developed an Excel<sup>®</sup> AMEn
calculator by using the best model, which provides a rapid and efficient
way to predict the AMEn values of concentrate feedstuffs for broilers.</span></div>
</div>
<h4>
FannTool;</h4>
<span style="font-size: small;">The software FANN TOOL 1.2 (http://code.google.com/p/fanntool/) was used to implement the networks.</span><br /><span style="font-size: small;"></span><br />
<br />birol kuyumcuhttp://www.blogger.com/profile/09572588641225833614noreply@blogger.com0tag:blogger.com,1999:blog-6738419136161845662.post-10820674282993938062013-03-29T23:24:00.000-07:002013-03-29T23:24:17.738-07:00Yacht Hydrodynamics<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjVYA9upEKQfbvXQCq1oYQAua1aXgAhzLaXT2I114MpXmSjJ2tj6qQM9feSrRlgc8NLEky8OxDDvrFpzb3oCZnqZ1JzChgMhQTG4FZs8RCYnY5x-YdkCQnu0nmW5MOFNyc1wH1LIQUbn6hY/s1600/Yat.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjVYA9upEKQfbvXQCq1oYQAua1aXgAhzLaXT2I114MpXmSjJ2tj6qQM9feSrRlgc8NLEky8OxDDvrFpzb3oCZnqZ1JzChgMhQTG4FZs8RCYnY5x-YdkCQnu0nmW5MOFNyc1wH1LIQUbn6hY/s320/Yat.jpg" width="293" /></a></div>
Yapay Sinir Ağlarının Gemi İnşa mühendisliği konusundaki bir uygulamasından bahsedeceğiz.<br />
<br />
Yaz dizaynı için konun uzmanı olmadığımızdan orjinal verilere atıfta bulunacağız<br />
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<blockquote class="tr_bq">
<i><b>Data Set Information:</b><br /><br />Prediction of residuary resistance of sailing yachts at the initial design stage is of a great value for evaluating the ship’s performance and for estimating the required propulsive power. Essential inputs include the basic hull dimensions and the boat velocity.<br /><br />The Delft data set comprises 308 full-scale experiments, which were performed at the Delft Ship Hydromechanics Laboratory for that purpose.<br />These experiments include 22 different hull forms, derived from a parent form closely related to the ‘Standfast 43’ designed by Frans Maas.<br /><br /><b>Attribute Information:</b><br /><br />Variations concern hull geometry coefficients and the Froude number:<br /><br />1. Longitudinal position of the center of buoyancy, adimensional.<br />2. Prismatic coefficient, adimensional.<br />3. Length-displacement ratio, adimensional.<br />4. Beam-draught ratio, adimensional.<br />5. Length-beam ratio, adimensional.<br />6. Froude number, adimensional.<br /><br />The measured variable is the residuary resistance per unit weight of displacement:<br /><br />7. Residuary resistance per unit weight of displacement, adimensional. </i></blockquote>
<br />
Veri setine <a href="http://archive.ics.uci.edu/ml/index.html">UC Irvine Machine Learning Repository</a> den <a href="http://archive.ics.uci.edu/ml/datasets/Yacht+Hydrodynamics">Yacht Hydrodynamics</a> adıyla ulaşabilirsiniz.<br />
<br />
Veriler Delft Teknik Üniversitesinin
Gemi Hidromekanik Labaratuvarındayapılan deneylerden alınmıştır. Bizim Çalışmamıza benzer bir çalışma da yapılmıştır<br />
<br />
"Prediction of Total Resistance Coefficients Using Neural Networks"<br />
I.Ortigosa, R. López and J.García<br />Daha detaylı bilgi ve Çalışmaya ulaşmak <a href="http://www.jmr.unican.es/pub/00603/00603.pdf">için bakınız sayfa 15</a><br />
<br />
Biz öncelikle Verileri FANNTool 'un DataProcessing kısmıyla açıp verileri normalize edip FANN formatına çevirdik. ilk 6 sütün giriş Son sütüun Çıkış değeri olarak seçildi. Verilerin 184 adedi Eğitim ve 124 adedi Test için kullanıldı. Değişik konfigurasyonlarda Pek çok YSA eğitildi.<br />
Ulaşılan sonuçları şöyle gösterelim<br />
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<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgcNtYeXs728LY7EVXMhJHBrg7JX7kyzKOnVEXbwF2_ZJ5yU81XbQv9cUK8ZF4vTAh20CTQE90TuiTuxU1tlbzs3eEAWWGQVBKPJoOxVdIfJfv8w6spchNQlxQ7s-WJvbTNeJjen0Bvpb1I/s1600/TestSonu%C3%A72.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="122" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgcNtYeXs728LY7EVXMhJHBrg7JX7kyzKOnVEXbwF2_ZJ5yU81XbQv9cUK8ZF4vTAh20CTQE90TuiTuxU1tlbzs3eEAWWGQVBKPJoOxVdIfJfv8w6spchNQlxQ7s-WJvbTNeJjen0Bvpb1I/s400/TestSonu%C3%A72.jpg" width="400" /></a></div>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhTDV9t7pFmnKyQ11rZ1tiEM1h3fDxaU9Wh65OK3bZlarfIS2hF9ZRVyZHxCLlyXeX8C0OJhgPgxvWbSvZTDdvOVeXQPy86HLVj-07f934SC7lzu4qEmRgHLFbIB4XhHDTj-_ndl0Hh05mG/s1600/TestSonu%C3%A7.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="277" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhTDV9t7pFmnKyQ11rZ1tiEM1h3fDxaU9Wh65OK3bZlarfIS2hF9ZRVyZHxCLlyXeX8C0OJhgPgxvWbSvZTDdvOVeXQPy86HLVj-07f934SC7lzu4qEmRgHLFbIB4XhHDTj-_ndl0Hh05mG/s320/TestSonu%C3%A7.jpg" width="320" /></a></div>
<br />
Bu sonuçlar Test verileri üzerinden çıkarılmıştır, Eğitim veri sonuçları daha da başarılıdır.<br />
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<br />birol kuyumcuhttp://www.blogger.com/profile/09572588641225833614noreply@blogger.com0tag:blogger.com,1999:blog-6738419136161845662.post-55455129914994779162013-03-10T00:03:00.001-08:002013-03-29T00:15:35.942-07:00Baraj Yatay Deformasyon Modellenmesi<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhikPWHXng44OUct-E_8bmwPig1Yxa6llxF9t40vQiiPJdQILkXMSx2P576Vp3RNKKX8GiQkL-ymUgM-e0nUqYw96iqN_RBENYL9o3LrTbnL9ybtIxTl9UookCbucgI9Ooc6CtJkE7eeVM-/s1600/arch_dam_schlegeis.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="303" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhikPWHXng44OUct-E_8bmwPig1Yxa6llxF9t40vQiiPJdQILkXMSx2P576Vp3RNKKX8GiQkL-ymUgM-e0nUqYw96iqN_RBENYL9o3LrTbnL9ybtIxTl9UookCbucgI9Ooc6CtJkE7eeVM-/s400/arch_dam_schlegeis.jpg" width="400" /></a></div>
<br />
Barajlarının deformasyonların ölçülmesi ve modellenmesi, Güvenlik açısında önemlidir. Biz bu çalışmamızda Yapay Sinir Ağları ile bir modelleme yapacağız.<br />
<br />
<h3>
Veriler :</h3>
<i>"Schlegeis barajı Avusturya’nın en önemli hidroelektrik santrallerinden biridir. Çift eğrilikli beton kemer şeklinde 1973 yılında hizmete giren baraj 131m yüksekliğinde ve kret uzunluğu 725m’dir. <br /><br />Asılı (Düz) ve ters pendulumlar kemer barajın düşey ekseni boyunca gövdenin bağıl yatay hareketlerini doğruluklu olarak belirlemek için yerleştirilen düzeneklerdir. </i><br />
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<i><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiaYTe2kYAFE0URWpMvQTzbq64qbQyYI-6-LpsuG55aJ2fMZaRRKK2iHOgVWSU2WydvgVhgLCZ8Zjr4AhgM8Jwv3YXEGVhIA0il6t-dsBcu_Dniu2gxjeil_aJu7vDABc5x_bD48v5Q36Et/s1600/baraj1.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="400" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiaYTe2kYAFE0URWpMvQTzbq64qbQyYI-6-LpsuG55aJ2fMZaRRKK2iHOgVWSU2WydvgVhgLCZ8Zjr4AhgM8Jwv3YXEGVhIA0il6t-dsBcu_Dniu2gxjeil_aJu7vDABc5x_bD48v5Q36Et/s400/baraj1.png" width="307" /></a></i></div>
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<i><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhP1xMCvb9fpT83vDG6Pk6JDSIHSl9zrEu94_XohWDaC3_iVQtLQlyggvQFdX5heCuXkQvd45uPYzeUQn0M5hQ5jnYiPp98y-UHIa1EeNszbuFA-ftn16d95yt4iFFAM2Y8bSP2as7JoSnU/s1600/baraj2.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><br /></a></i></div>
<i>Gövdenin oturduğu kaya zemine gömülen ters pendulum teli sayesinde gövdenin mutlak yatay hareketleri 0.5mm doğrulukla belirlenebilir.</i><br />
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<i><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh7i4BLScdvD9-44Ab-CYDhIPlYTxejVEnoOiiCp-1C64veMDhDzeLP6_hDfDW1agE8ftfsMcMBB8pmCcioRZauKyPwKB_UJLvgo3x1h0DiEeSM6M5jh_XGz77OM8ANYHl7ImouyeTZjnXz/s1600/baraj2.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="400" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh7i4BLScdvD9-44Ab-CYDhIPlYTxejVEnoOiiCp-1C64veMDhDzeLP6_hDfDW1agE8ftfsMcMBB8pmCcioRZauKyPwKB_UJLvgo3x1h0DiEeSM6M5jh_XGz77OM8ANYHl7ImouyeTZjnXz/s400/baraj2.png" width="257" /></a></i></div>
<i><br /><br />Su kotu değerleri 9 yıllık dönem boyunca her gün sabah saat 09:00 da kaydedilen baraj gölü su düzeyi kayıtlarıdır. Hava sıcaklığı, 24 saatlik kayıtların günlük ortalama değerlerini gösterir. Analize konu olan pendulum değerleri ise, barajın en büyük düşey kesitinin yatay konum değişimleridir. Bu değişimler memba(su tarafı), mansap(gövdenin su olmayan tarafı) ile gövdenin dayandığı vadi yamaçlarına (sağ ve sol sahil) göre tanımlanır. Elektronik olarak kaydedilen bu değerler; kuzey (memba), güney (mansap), doğu (sağ sahil) ve batı (sol sahil) yönleriyle ifade edilir."</i><br />
Veriler ve gereken bilgiler YTÜ meslek yüksek okulu öğretim üyesi ve Harita Y. Mühendisi <a href="http://www.yildiz.edu.tr/~yavuz/demirkaya.htm">Seyfullah Demirkaya</a> 'dan alınmıştır<br />
<h3>
Modelleme</h3>
<span style="color: red;"> </span>Biz bu çalışmamızda deformasyon modellemesini Yapay Sinir Ağlarıyla yaptık, Öncelikle verilerin<br />
YSA sistemine uygulanmasına bakalım<br />
<br />
<span style="color: red;"> Girişler : </span><br />
W_LEVEL : Su sevyesi metre<br />
T_H12_UP, T_H12_MI, T_H12_DO , T_H15_UP , T_H15_MI,T_H15_DO :<br />
<blockquote class="tr_bq">
Beton sıcaklıkları </blockquote>
<blockquote class="tr_bq">
UP : Upstream: Memba (Baraj gövdesinin su tarafı)<br />
DO : Downstream: Mansap (Barajın hava olan tarafı) <br />
MI : Mid: Gövdenin ortası </blockquote>
T_AIR_M : Hava Sıcaklığı <br />
<span style="color: red;">Çıkış </span>:<br />
PENDULUM : Ölçülen deformasyon ( mili metre )<br />
<br />
Giriş ve çıkış değerleri kararlaştırıldıktan sonra, veriler üzerinde gereken normalizasyon işlemi yapılmış ve Eğitim ve Tes için veriler ikiye ayrılmıştır.<br />
<br />
YSA kütüphanesi olarak FANN kullanılmıştır. YSA eğitimi <a href="http://fanntool.blogspot.com/p/fanntool-nedir.html">FannTool</a> ile gerçekleştirilmiştir. İstendiğinde Eğitilmiş YSA ile Tahmin yapmak üzre program yazılabilir...<br />
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<br />
<h3>
Sonuç:</h3>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgMe1U1Iw98rv4yyGpsdjUQbmmElNz1okL1FhmmBv2GJ1NCegroYH1nyFVbPKoxMm1ZtIMiUrVRpz6ezuj8_Wa3WLpd-y2_1Lyx9OyY7qNlAux55AbdgX_DbF6bFp27iwBKjReqB5VxRuDG/s1600/sonuc.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="128" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgMe1U1Iw98rv4yyGpsdjUQbmmElNz1okL1FhmmBv2GJ1NCegroYH1nyFVbPKoxMm1ZtIMiUrVRpz6ezuj8_Wa3WLpd-y2_1Lyx9OyY7qNlAux55AbdgX_DbF6bFp27iwBKjReqB5VxRuDG/s640/sonuc.jpg" width="640" /></a></div>
<br />
Eğtim Verileri için Ortalama Mutlak Hata Yüzde : % 2.4<br />
Test Verileri için Ortalama Mutlak Hata Yüzde : % 3,67<br />
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<br />birol kuyumcuhttp://www.blogger.com/profile/09572588641225833614noreply@blogger.com0tag:blogger.com,1999:blog-6738419136161845662.post-44573947373242530082013-03-02T00:41:00.000-08:002013-03-29T00:15:02.484-07:00Yapay Sinir Ağları ile Epilepsi İçin Otomatik EEG analizi<br />
<h3>
Özet :</h3>
Bu çalışma Epileptik ve Normal EEG verilerinin , Yapay Sinir Ağları ile ve PoincarePlot2D metoduyla çıkarılan öznitelikleri kullanarak sınıflandırılması üzerinedir.<br />
<br />
<h3>
Giriş :</h3>
<br />
<a href="http://www.turkepilepsi.org.tr/page.aspx?menu=624">Epilepsi Dünya nufusunun %1'ni etkileyen</a> bir rahatsızlıktır. Beynimiz milyarlarca sinir hücresinden oluşur ve bu hücreler üzerinde sürkeli bir elektiriksel iletişim vardır. Epilepside Beynin normalde çalışması ile ilgili elektriğin, aşırı ve kontrolsüz yayılımı sonucu oluşan ve herhangi bir uyarı olmaksızın tekrarlayan, çoğunlukla geçici bilinç kaybına neden olan bir hastalıktır.<br />
<br />
EEG yani Elektroensefalografi beynin elektriksel aktivitesini ölçmek için kullanılan bir metoddur. Aynı zamanda epilepsili hastaları ve şüphe oluşturan nöbet bozuklukları olan hastaları incelemekte kullanılan <a href="http://www.safiyebilgin.com/eeg.htm">önemli bir tetkiktir.</a><br />
<br />
Uzun süreli EEG sinyallerinin incelenmesi ve istenen bilgilerin çıkarılması oldukça uzun zaman alan ve tecrübe gerektiren bir iştir. Bu yüzden Otomatik EEG analiz sistemleri üzerinde çalışmalar yapılmaktadır. Bu çalışmada benzeri bir sistem üzerinedir.<br />
<br />
<h3>
Metod :</h3>
Pek çok Yapay Zeka uygulamasında olduğu gibi ilk aşamalardan biri Öznitelik Çıkarma işlemidir. Biz bu çalışmada PoicarePlot2D diye adlandırdığımız -deneysel- bir metodu uyguladık.<br />
<br />
<a href="http://en.wikipedia.org/wiki/Poincar%C3%A9_plot">Poicare Plot</a> adını fransız matematikçi <a href="http://en.wikipedia.org/wiki/Henri_Poincar%C3%A9">H. Poincare</a> den alan bir metoddur. Basitçe anlatırsak<br />
<div style="text-align: center;">
X<span style="font-size: xx-small;">1</span>, X<span style="font-size: xx-small;">2</span>,... Xn </div>
şeklindeki bir zaman serisinin 2 boyutlu bir koordinat sisteminde sırayla<br />
<div style="text-align: center;">
<br /></div>
<div style="text-align: center;">
(X<span style="font-size: xx-small;">1</span>, X<span style="font-size: xx-small;">2 </span>) , (X<span style="font-size: xx-small;">2</span>, X<span style="font-size: xx-small;"><span style="font-size: xx-small;">3</span> </span>) , (X<span style="font-size: xx-small;">3</span>, X<span style="font-size: xx-small;">4</span>) , .... , (X<span style="font-size: xx-small;"><span style="font-size: small;">n</span>-1</span>, Xn<span style="font-size: xx-small;"> </span>) </div>
<br />
noktalarının çizilmesidir.<br />
<br />
Mesela Basit bir sinus serisinin<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgZ9gqT5G2GxMOQy4v2Jy8jpAimLHvOte49Z7SNyUmnS715JlxrNemnEq7ZJrWhamIjUjAxOMwLIW6fqMd7wz9Xy87C3bc5htw9OKP-D2guxSV-k1GFZVUQieKFdj4lZVOgDKalNiTv-jlo/s1600/TS-Sin.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="72" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgZ9gqT5G2GxMOQy4v2Jy8jpAimLHvOte49Z7SNyUmnS715JlxrNemnEq7ZJrWhamIjUjAxOMwLIW6fqMd7wz9Xy87C3bc5htw9OKP-D2guxSV-k1GFZVUQieKFdj4lZVOgDKalNiTv-jlo/s400/TS-Sin.jpg" width="400" /></a></div>
<br />
Poincare Grafiğine dönüşmüş hali<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhsw7PkhyOgG9iKDh06KjB4W6bxaeHqmE8NNyNXq_ep_7gtHAumxlbsymYfit6fA-fOS5Iy3MWYBtXeiCaKHS-VKu0KbheJ-u7ywGcx20ikd4iCV93t2kOM745ZYEC3hyh5-nSmgDuPWxz_/s1600/PP2D-Sin.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="390" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhsw7PkhyOgG9iKDh06KjB4W6bxaeHqmE8NNyNXq_ep_7gtHAumxlbsymYfit6fA-fOS5Iy3MWYBtXeiCaKHS-VKu0KbheJ-u7ywGcx20ikd4iCV93t2kOM745ZYEC3hyh5-nSmgDuPWxz_/s400/PP2D-Sin.jpg" width="400" /></a></div>
<br />
Şeklinde görünür.<br />
<br />
Öznitelik çıkarma işleminde veri seti ile Poincare Grafiği oluşturulur ve çıkan şeklinden yola çıkılarak 20x20 lik bir matris oluşturulur.<br />
<br />
<div class="separator" style="clear: both; text-align: center;">
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<br />
Sinus verisi için çıkarılan öznitelik matrisi bu şekildedir.<br />
<br />
İkinci aşama ise çıkarılan özniteliklerin seçilecek bir Yapay zeka Algoritmasıyla sınıflandırılmasından ibarettir. Biz çalışmamızda Yapay Sinir Ağı metodunu kullandık. YSA için <a href="http://fanntool.blogspot.com/p/fann-nedir.html">FANN</a> kütüphanesini kullandık . Eğitimi ve sonuçların testi içinde <a href="http://fanntool.blogspot.com/p/fanntool-nedir.html">FannTool</a> programından faydalandık.<br />
<br />
<h3>
Veri Seti :</h3>
<br />
Çalışmamızda kullandığımız , Bonn Üniversitesinde, Epileptoloji Bölümünün hazırladığı bir EEG veri setidir. Verilere <a href="http://epileptologie-bonn.de/cms/front_content.php?idcat=193&lang=3&changelang=3">bu adresden</a> ulaşabilirsiniz. <br />
Bütün kayıtların alımı 128 kanallı kayıt sisteminde 12-bit A/D dönüstürücü ile yapılmıştır. Örnekleme frekansı 173.61 Hz dir. Band-geçiren filtre aralıgı ise 0.53–40 Hz (12 dB/octave) dir.<br />
5 sınıfa ayrılmış veriler var ve her sınıfda 100 adet veri dosyası var her dosyada 4096 değer var. <br />
<br />
<ul>
<li>Sınıf A : Sağlıklı Gönüllülerden alınmış Göz Açık ( <span style="color: red;"><b>Z</b></span> )</li>
<li>Sınıf B : Sağlıklı Gönüllülerden alınmış Göz Kapalı (<span style="color: red;"><b> O</b></span> )</li>
<li>Sınıf C : Epilepsi hastası Kriz dışında Epileptik olmayan bölgeden ( <span style="color: red;"><b>N</b></span> )</li>
<li>Sınıf D : Epilepsi hastası Kriz dışında Epileptik olan bölgeden ( <b><span style="color: red;">F</span></b> )</li>
<li>Sınıf E : Epilepsi hastası Kriz esnasında ( <b><span style="color: red;">S</span></b> )</li>
</ul>
<br />
<h3>
Uygulama :</h3>
<br />
Öncelikle Veri setimizden<br />
<div class="separator" style="clear: both; text-align: center;">
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<br />
PoincarePlot2D metoduyla<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgGNF1wi46KCTmcJEcRzA22OmtB6HAnMl0xbPCmkWx0fQ60ypGQ6GBjdVJKDdtY4Xec9E4i0jkiAHUXJYPTuZaXoNziLW23P45YxMnfX3fUiJuaapTikGj_fyMGdMJLF2addjQVGYC_HlTl/s1600/TotalPP2D.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="266" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgGNF1wi46KCTmcJEcRzA22OmtB6HAnMl0xbPCmkWx0fQ60ypGQ6GBjdVJKDdtY4Xec9E4i0jkiAHUXJYPTuZaXoNziLW23P45YxMnfX3fUiJuaapTikGj_fyMGdMJLF2addjQVGYC_HlTl/s400/TotalPP2D.jpg" width="400" /></a></div>
<br />
Öznitelik çıkarma işlemini gerçekleştiriyoruz.<br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh7QZQszAqdP_fVYshFTYDI8Qw1KdcwQyOs5dyOlFo61-iMfpKu2H7qTjlkZZw7mLX3HIK0SYQtx8J9MQlic4yjG6iOPFf3w4TJ2ynuWr3lTmNjyN5_2zpyw9Tk6LKcmzmaz3qoiebWwzTQ/s1600/Total-PPA.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="288" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh7QZQszAqdP_fVYshFTYDI8Qw1KdcwQyOs5dyOlFo61-iMfpKu2H7qTjlkZZw7mLX3HIK0SYQtx8J9MQlic4yjG6iOPFf3w4TJ2ynuWr3lTmNjyN5_2zpyw9Tk6LKcmzmaz3qoiebWwzTQ/s400/Total-PPA.jpg" width="400" /></a></div>
<br />
<br />
<br />
Bütün Sınıflandırma işlemini tek YSA ile yapmaya kalkıştığımızda
Yaptığımız çeşitli denemeler sonucunda Test için ulaşabildiğimiz en
yüksek başarı % 70 lerin biraz üstünde oluyor.<br />
<br />
Bu yüzden bizde sınıflandırma işlemini parçalara ayırıyoruz ve her parça için ayrı YSA eğitiyoruz.<br />
Bütün sınıflandırmayı 3 YSA ile gerçekleştiriyoruz<br />
<br />
<span style="color: red;">Birinci YSA</span> ; EEG verisi Sağlıklı birinden mi Epilepsi hastasından mı alınmış kararını veriyor<br />
500 veriden 375'ini eğitim ve 125'inide test için kullanıyoruz.<br />
<br />
<div style="text-align: center;">
400 giriş 1 Çıkış </div>
<br />
<span style="color: red;">İkinci YSA</span> ; İlk YSA sonucunda
Epilepsi Hastasından alınmış bir EEG ise, Verinin alınma konum ve yerine karar
veriliyor.<br />
<ul>
<li>Kriz sırasında, </li>
<li>Kriz dışında, Epileptik taraftan </li>
<li>Kriz dışında, Epileptik
olmayan taraftan </li>
</ul>
<br />
Kriz dışında 3 durum var. 300 veriden 225'ini eğitim
ve 75'inide test için kullanıyoruz.<br />
<br />
<br />
<div style="text-align: center;">
400 giriş 3 Çıkış </div>
<br />
<span style="color: red;">Üçüncü YSA</span> ; İlk YSA sonucunda
Sağlıklı bireylerden alınmış bir EEG ise Göz Kapalımı, Açıkmı kararını
veriyor. 200 veriden 150'ini eğitim ve 50'inide test için
kullanıyoruz.<br />
<div style="text-align: center;">
400 giriş 1 Çıkış </div>
<div style="text-align: center;">
<br /></div>
<br />
<br />
<h3>
Sonuç :</h3>
YSA ile yaptığımız bütün sınıflandırmalarda ulaştığımız sonuç;<br />
hem Eğitim hemde Test verileri için <b>%100 başarı</b> <br />
Aynı veri seti kullanılarak yapılan diğer çalışmaların başarıları aşağıdaki tabloda görülmektedir.<br />
<br />
<br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhxsWk2EohxsLu01ARPVogw4jZPuEQKes-92HZjGeycHmML3LXbXY8ilI2V8TYITX9IR_SDz8KFcxnPNMJEl78Vw1Gtto6fZcSoB6ErigybnibkK41AS0gSox5Qxj9r-cCh-fwNegvc5Wi_/s1600/relatedworks1.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="312" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhxsWk2EohxsLu01ARPVogw4jZPuEQKes-92HZjGeycHmML3LXbXY8ilI2V8TYITX9IR_SDz8KFcxnPNMJEl78Vw1Gtto6fZcSoB6ErigybnibkK41AS0gSox5Qxj9r-cCh-fwNegvc5Wi_/s400/relatedworks1.jpg" width="400" /></a></div>
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<br />
<br />
Yapılmış olan benzeri çalışmalar hakkındaki detaylı bilgiye<br />
<a href="http://cdn.intechopen.com/pdfs/30007/InTech-Automated_epileptic_seizure_detection_methods_a_review_study.pdf">Automated Epileptic Seizure Detection Methods: A Review Study </a><br />
çalışmasından ulaşabilirsiniz yukardaki tabloda o çalışmadan alınmıştır.birol kuyumcuhttp://www.blogger.com/profile/09572588641225833614noreply@blogger.com3tag:blogger.com,1999:blog-6738419136161845662.post-56063397586904319982012-11-13T23:22:00.000-08:002012-11-13T23:22:25.089-08:00Yapay Sinir Ağları ile Koroner Arter Hastalığı Risk Hesaplama<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi0_alT3h58oVURrIOuefYqoAwid4VmPcUEo0sEyJl30yDaJ2LPAKssa1Vn3zAgaqF-AWA-EwldiAOo1qYOGHxjar6RhnfrnP6c1GAHrx-F2C-dJP3kv3-ofwsoaceay2-NJ2SqgXpeu5_z/s1600/KAH1.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="341" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi0_alT3h58oVURrIOuefYqoAwid4VmPcUEo0sEyJl30yDaJ2LPAKssa1Vn3zAgaqF-AWA-EwldiAOo1qYOGHxjar6RhnfrnP6c1GAHrx-F2C-dJP3kv3-ofwsoaceay2-NJ2SqgXpeu5_z/s400/KAH1.jpg" width="400" /></a></div>
<br />
Kırıkkale Üniversitesi - Bilgisayar Mühendisliği Bölümü<br />Yapay Sinir Ağları Final Projesi<br />Sinem Özder<br />
<br />
Bu çalışmada amaç, bir hastadan alınan input seti ile hastada 10 yıl
içinde Koroner Arter hastalığı görülme olasılığının tahmin edilmesidir<br /><br />Proje için şekildeki gibi bir YSA dizayn edilmiştir.<br />
Giriş değerleri ;<br />
<blockquote class="tr_bq">
• Cinsiyet<br />• Yaş<br />• LDL Kolesterol<br />• HDL Kolesterol<br />• Diyastolik Kan Basıncı<br />• Sistolik Basıncı<br />• Diyabet<br />• Sigara</blockquote>
Çıkış değeri;<br />
<blockquote class="tr_bq">
• KAH Riski</blockquote>
Yazıyı İndirmek için ; <a href="https://fanntool.googlecode.com/files/YSA-KAH-R%C4%B0SK_HESAPLAMA_PROJE_RAPORU.pdf">KAH-Risk</a> birol kuyumcuhttp://www.blogger.com/profile/09572588641225833614noreply@blogger.com0tag:blogger.com,1999:blog-6738419136161845662.post-69618837489952560962012-11-13T23:06:00.000-08:002015-05-12T03:44:02.728-07:00FANN Kütüphanesinin Kullanımı <div class="separator" style="clear: both; text-align: center;">
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<br />
<a href="http://leenissen.dk/fann/index.php">FANN</a> yani Fast Artificial Neural Network Library Bir Yapay Sinir Ağı (YSA) Kütüphanesi.<br />
<a href="http://fanntool.blogspot.com/p/ysa-nedir.html">YSA</a> nın ne olduğunu bildiğinizi varsayıp. Basitçe kullanımını anlatmak istiyorum.<br />
<blockquote>
1) YSA oluşturulur<br />
2) YSA Eğitilir<br />
3) YSA Çalıştırılır.<br />
4) YSA yı Tekrar Kullanama</blockquote>
<br />
<b><span style="color: red;">1)</span></b> Öncelikle Bir YSA oluşturmamız lazım<br />
Kullanabileceğimiz Fonksiyonlardan biri <span style="color: #3333ff; font-style: italic;">fann_create_standard</span><br />
<br />
<span style="color: #3333ff; font-style: italic;">struct fann *FANN_API fann_create_standard( unsigned int num_layers, ... )</span><br />
<br />
YSA nın kaç katmandan oluştuğunu yazıp - num_layers -<br />
Sırayla Giriş, Gizli Katman - yada Katmanlar - Çıkış Katmanlarının kaç birimden oluştuğunu yazıyoruz<br />
<br />
<span style="color: red;">Mesela</span> :<br />
<br />
5 giriş 2 çıkışlı Tek ve 7 birimlik Gizli Katmanlı bir YSA oluşturmak için<br />
<br />
<blockquote class="tr_bq">
<span style="color: #3333ff; font-style: italic;">struct fann *ann = fann_create_standard(3, 5, 7, 2);</span></blockquote>
<br />
5 giriş 2 çıkışlı , 7 ve 3 birimlik olmak üzere 2 Gizli Katmanlı bir YSA oluşturmak için<br />
<br />
<blockquote class="tr_bq">
<span style="color: #3333ff; font-style: italic;">struct fann *ann = fann_create_standard(4, 5, 7,3, 2);</span></blockquote>
<br />
ann işaretçisi artık bizim oluşturduğumuz YSA yı gösteriyor<br />
<br />
<br />
<span style="color: red;"><b>2)</b> </span>YSA Eğitimi için Kullanabileceğimiz Fonksiyonlardan biri <span style="color: #3333ff; font-style: italic;">fann_train_on_file</span><br />
<br />
<span style="color: #3333ff; font-style: italic;">void FANN_API fann_train_on_file(</span><br />
<span style="color: #3333ff; font-style: italic;"> struct fann * ann, // fann_create_standard ile almıştık</span><span style="color: #3333ff; font-style: italic;">const char * filename, // Veri Dosya</span><span style="color: #3333ff; font-style: italic;">unsigned int max_epochs,</span><span style="color: #3333ff; font-style: italic;">unsigned int epochs_between_reports,</span><span style="color: #3333ff; font-style: italic;"><br />float desired_error</span><span style="color: #3333ff; font-style: italic;">)</span><br />
<span style="color: red;">ann :</span> fann_create_standard ile aldığımız bizim YSA mızı gösteren işaretçi<br />
<span style="color: red;">filename :</span> Eğitim için kullanacağımız Veri Dosyasının adı<br />
<span style="color: red;">max_epochs :</span> Eğitimin çalışacağı maksimum adım Sayısı<br />
<span style="color: red;">epochs_between_reports :</span> Kaç Adımda bir Rapor verilmesi isteniyor<br />
<span style="color: red;">desired_error :</span> Eğitim sonunda arzulanan hata miktarı<br />
<br />
Bu
fonksiyonu çağrılınca İsmini belirttiğimiz Dosyadan veriler alınır ve
Hata miktarı istenen değere yada maksimum adım sayısına ulaşana kadar
YSA eğitime tabi tutulur. Arada belirttiğimiz adımda rapor verilir.
Eğer istenen hata değerine ulaşılamazsa eğitim başarısız olmuş olur.<br />
<br />
<span style="color: red;">Veri Dosyasının yapısı :</span> Veri Dosyası dediğimiz şey Giriş ve çıkış değerlerinin bulunduğu basit bir text dosyasıdır.<br />
<blockquote class="tr_bq">
Örnek Sayısı(N) Giriş(K) Çıkış (J)<br />
G11 G12 G13 ...G1K<br />
Ç11 Ç12 Ç13...Ç1J<br />
G21 G22 G23 ...G2K<br />
Ç21 Ç22 Ç23...Ç2J<br />
....<br />
GN1 GN2 GN3 ...GNK<br />
ÇN1 ÇN2 ÇN3...ÇNJ</blockquote>
<br />
<span style="color: red;">Mesela</span> 3 Giriş 1 Çıkışlık 2 Örnekli bir veri dosyası<br />
<br />
<blockquote class="tr_bq">
2 3 1<br />
1 1 1<br />
0<br />
1 0 1<br />
1</blockquote>
<br />
Eğitim öncesi Aktivasyon Fonksiyonlarını Ayarlamak istiyorsanız<br />
<br />
<span style="color: #3333ff; font-style: italic;">fann_set_activation_function_hidden(</span><br />
<span style="color: #3333ff; font-style: italic;"> struct fann * ann,</span><br />
<span style="color: #3333ff; font-style: italic;"> enum fann_activationfunc_enum activation_function</span><br />
<span style="color: #3333ff; font-style: italic;">)</span><br />
<br />
<span style="color: #3333ff; font-style: italic;">fann_set_activation_function_output(</span><br />
<span style="color: #3333ff; font-style: italic;"> struct fann * ann,</span><br />
<span style="color: #3333ff; font-style: italic;"> enum fann_activationfunc_enum activation_function</span><br />
<span style="color: #3333ff; font-style: italic;">)</span><br />
<br />
<span style="color: red;">Mesela</span><br />
<blockquote class="tr_bq">
<span style="color: #3333ff; font-style: italic;">fann_set_activation_function_hidden(ann, FANN_SIGMOID);</span><br />
<span style="color: #3333ff; font-style: italic;">fann_set_activation_function_output(ann, FANN_SIGMOID_SYMMETRIC);</span></blockquote>
gibi<br />
<br />
Kendi rapor Fonksiyonumuzuda tanımlayabiliriz<br />
<blockquote class="tr_bq">
<span style="color: #3333ff; font-style: italic;">void fann_set_callback( struct fann * ann, fann_callback_type callback )</span></blockquote>
<span style="color: red;">Mesela</span><span style="color: #3333ff; font-style: italic;"> </span><br />
<br />
<span style="color: #3333ff; font-style: italic;">int FANN_API my_report(struct fann *ann, struct fann_train_data *train,</span><br />
<span style="color: #3333ff; font-style: italic;"> unsigned int max_epochs, unsigned int epochs_between_reports,</span><br />
<span style="color: #3333ff; font-style: italic;"> float desired_error, unsigned int epochs)</span><br />
<span style="color: #3333ff; font-style: italic;">{</span><span style="color: #3333ff; font-style: italic;"> </span><br />
<span style="color: #3333ff; font-style: italic;">printf("Adım %8d. MSE: %.5f. Desired-MSE: %.5f\n", epochs, fann_get_MSE(ann),desired_error);</span><span style="color: #3333ff; font-style: italic;">return 0;</span><br />
<span style="color: #3333ff; font-style: italic;"> </span><span style="color: #3333ff; font-style: italic;">}</span><br />
<br />
<span style="color: #3333ff; font-style: italic;">fann_set_callback( ann, my_report );</span><br />
<br />
<br />
<br />
<br />
Eğer Dinamik bir eğitme süreci gerekmiyorsa, Eğitim ve Parametre ayarlarını kolayca <a href="http://fanntool.blogspot.com/p/fanntool-nedir.html">FannTool</a> ile yapabilirsiz<br />
<br />
<b><span style="color: red;">3)</span></b>
Artık Eğitimini tamamladığımız YSA yı çalıştırabiliriz. YSA'nın
çalışması demek Giriş değerleri verilerek sonuçta elde edilen çıkış
değerlerini almak demektir<br />
Bu iş için kullanacağımız fonksiyon <span style="color: #3333ff; font-style: italic;">fann_run</span><br />
<br />
<blockquote class="tr_bq">
<span style="color: #3333ff; font-style: italic;"> fann_type * FANN_API fann_run( struct fann * ann,</span><span style="color: #3333ff; font-style: italic;"> fann_type * input )</span></blockquote>
<br />
Yani YSA'yı giriş değerlerini içeren bir dizinin adresini gönderiyoruz.<br />
<br />
<span style="color: red;">Mesela</span> 3 giriş 2 çıkışlı bir YSA için<br />
<br />
<blockquote class="tr_bq">
<span style="color: #3333ff; font-style: italic;">fann_type *sonuc;</span><br />
<span style="color: #3333ff; font-style: italic;">fann_type input[3]={1,1,0}; // giriş değerleri</span><br />
<span style="color: #3333ff; font-style: italic;">sonuc = fann_run(ann, input);</span><br />
<span style="color: #3333ff; font-style: italic;">printf("Çıkış Değerelri %f %f \n", sonuc[0], sonuc[1] );</span></blockquote>
<br />
<span style="color: red; font-weight: bold;">4)</span>
YSA yı her kullandığımızda yukardekileri tekrar tekrar yapmamıza gerek
yok. YSA eğitildikten sonra Kaydedip. Kullanacağımız zaman bu kayıttan
yeniden YSA yı oluşturabiliriz.<br />
Kaydetmek için <span style="color: #3333ff; font-style: italic;">fann_save </span>Kullanımı çok basit<br />
<br />
<blockquote class="tr_bq">
<span style="color: #3333ff; font-style: italic;">int fann_save( struct fann * ann, const char *FileName )</span></blockquote>
<br />
FileName kısmına bir Dosya ismi girip kaydediyoruz. Kayıt Geri dönüş değerine göre 0 ise başarılı -1 ise başarısız.<br />
<br />
Kaydettiğimiz YSA yı tekrar yüklemek için <span style="color: #3333ff; font-style: italic;">fann_create_from_file</span> fonksiyonu kullanılır.<br />
<br />
<blockquote class="tr_bq">
<span style="color: #3333ff; font-style: italic;">struct fann * fann_create_from_file(const char *FileName)</span></blockquote>
<br />
Fonksiyon Kaydedilmiş Dosya ismiyle çağrılır.<br />
<br />
Eğer YSA ile işimiz bittiyse <span style="color: #3333ff; font-style: italic;">fann_destroy</span> kullanılarak hafızada YSA için kullandığımız alanlar boşaltılır.<br />
<br />
<blockquote class="tr_bq">
<span style="color: #3333ff; font-style: italic;"> void fann_destroy( struct fann * ann )</span></blockquote>
<br />
<span style="color: #3333ff; font-style: italic;">Mesela</span> : YSA için İlk üç adımı yaptık kaydediyoruz<br />
<br />
<blockquote class="tr_bq">
<span style="color: #3333ff; font-style: italic;"> fann_save(ann, "YSA.net");</span><br />
<span style="color: #3333ff; font-style: italic;"> fann_destroy(ann);</span></blockquote>
<br />
Tekrar çağırıyoruz<br />
<br />
<blockquote class="tr_bq">
<span style="color: #3333ff; font-style: italic;"> fann_create_from_file("YSA.net");</span></blockquote>
<span style="color: #3333ff; font-style: italic;"><br /></span>
<b><span style="color: red;">5)</span></b> Test Etmek : Eğittiğimiz
YSA yı test etmek gerekmektedir Eğitim için kullandığımız verinin % 10 -
30 arasındaki bir miktarda veriyle YSA test edilir ve Hata faktörüne
bakılır. Öncelikle aynı Eğitim verisi için kullandığımız dosya
yapısında bir dosya hazırlanır ve <span style="color: #3333ff; font-style: italic;">fann_read_train_from_file</span> fonksiyonuyla yüklenir. Bundan sonra tek yapacağınız <span style="color: #3333ff; font-style: italic;">fann_test_data</span> fonksiyonunu çağırmak. işi bitincede <span style="color: #3333ff; font-style: italic;">fann_destroy_train</span> ile hafızdaki yerleri boşaltmak<br />
<br />
<span style="color: red;">Mesela :</span><br />
<span style="color: #3333ff; font-style: italic;">struct fann_train_data *dt;</span><br />
<span style="color: #3333ff; font-style: italic;"> dt=fann_read_train_from_file("test.dat");</span><br />
<span style="color: #3333ff; font-style: italic;"> ann=fann_create_from_file("aproje.net"); </span><br />
<span style="color: #3333ff; font-style: italic;"> fann_reset_MSE(ann);</span><br />
<span style="color: #3333ff; font-style: italic;"> fann_test_data(ann,dt);</span><br />
<span style="color: #3333ff; font-style: italic;"> printf("\n Test Sonucu MSE : %f \n\n", fann_get_MSE(ann) );</span><br />
<span style="color: #3333ff; font-style: italic;"> fann_destroy_train(dt);</span><br />
<br />
MSE
(Mean Square Error) dediğimiz şey ortalama karesel hata yani bizim YSA
mız yaptığı - Eğitim yada Test - işte istenenle hesaplanan değerler
arasındaki - Hata - farklarının karelerinin ortalaması gibi birşey<br />
<br />
<blockquote class="tr_bq">
<span style="color: #3333ff; font-style: italic;">void fann_reset_MSE(struct fann *ann) </span></blockquote>
MSE değerini sıfırlar<br />
<br />
<blockquote class="tr_bq">
<span style="color: #3333ff; font-style: italic;">float FANN_API fann_get_MSE(struct fann *ann)</span></blockquote>
MSE değerini okur<br />
<br />
<br />
<span style="color: red;"><b>6)</b> </span>Diğer Faydalı Fonksiyonlar<br />
<br />
<span style="color: red;">Eğitim Algoritmalarını ayarlayanlar</span><br />
<br />
<blockquote class="tr_bq">
<span style="color: #3333ff; font-style: italic;"> enum fann_train_enum fann_get_training_algorithm(struct fann *ann)</span></blockquote>
Kullanılan Eğitim metodunu okur<br />
<br />
<blockquote class="tr_bq">
<span style="color: #3333ff; font-style: italic;">void fann_set_training_algorithm(struct fann *ann,enum fann_train_enum training_algorithm)</span></blockquote>
<span style="color: red;">*</span> <span style="font-weight: bold;">Eğitim metadunu değiştirir.</span><br />
<br />
Eğitim metodları ise <span style="color: #3333ff;"> </span><br />
<blockquote class="tr_bq">
<span style="color: #3333ff;">FANN_TRAIN_INCREMENTAL, </span><br />
<span style="color: #3333ff;">FANN_TRAIN_BATCH, </span><br />
<span style="color: #3333ff;">FANN_TRAIN_RPROP, </span><br />
<span style="color: #3333ff;">FANN_TRAIN_QUICKPROP</span> </blockquote>
olarak 4 çeşittir. Metodların detayı için kitaplara yada google <a href="http://leenissen.dk/fann/html/files/fann_data-h.html#fann_train_enum">müracaat</a> edilsin<br />
<br />
<span style="color: red;">*</span> <span style="font-weight: bold;">Öğrenme hızını ayarlayanlar </span><br />
<br />
<br />
<blockquote class="tr_bq">
<span style="color: #3333ff; font-style: italic;">float fann_get_learning_rate(struct fann *ann)</span></blockquote>
kullanılan öğrenme hızını döndürür.<br />
<br />
<blockquote class="tr_bq">
<span style="color: #3333ff; font-style: italic;">void fann_set_learning_rate(struct fann *ann, float learning_rate)</span></blockquote>
Öğrenme hızını ayarlar. Öğrenme hızı için geçerli Normal Değer 0.7<br />
Bu fonkisyonları FANN_TRAIN_RPROP metodu için kullanamıyoruz<br />
<br />
<span style="color: red;">* </span><span style="font-weight: bold;">Aktivasyon Fonksiyonlarını Ayarlayanlar</span><br />
Daha önce geçmişti<br />
Gizli katman için<br />
<span style="color: #3333ff; font-style: italic;">fann_set_activation_function_hidden(</span><br />
<span style="color: #3333ff; font-style: italic;">struct fann * ann,</span><br />
<span style="color: #3333ff; font-style: italic;">enum fann_activationfunc_enum activation_function</span><br />
<span style="color: #3333ff; font-style: italic;">)</span><br />
Çıkış katamanı için<br />
<span style="color: #3333ff; font-style: italic;">fann_set_activation_function_output(</span><br />
<span style="color: #3333ff; font-style: italic;">struct fann * ann,</span><br />
<span style="color: #3333ff; font-style: italic;">enum fann_activationfunc_enum activation_function</span><br />
<span style="color: #3333ff; font-style: italic;">)</span><br />
<br />
kullanılır<br />
Aktivasyon fonksiyonlarıda ; <span style="color: #3333ff; font-style: italic;"> </span><br />
<blockquote class="tr_bq">
<span style="color: #3333ff; font-style: italic;">FANN_LINEAR,</span><br />
<span style="color: #3333ff; font-style: italic;">FANN_THRESHOLD,</span><br />
<span style="color: #3333ff; font-style: italic;">FANN_THRESHOLD_SYMMETRIC,</span><br />
<span style="color: #3333ff; font-style: italic;">FANN_SIGMOID, </span><br />
<span style="color: #3333ff; font-style: italic;">FANN_SIGMOID_STEPWISE, </span><br />
<span style="color: #3333ff; font-style: italic;">FANN_SIGMOID_SYMMETRIC, </span><br />
<span style="color: #3333ff; font-style: italic;">FANN_GAUSSIAN, </span><br />
<span style="color: #3333ff; font-style: italic;"> FANN_GAUSSIAN_SYMMETRIC, </span><br />
<span style="color: #3333ff; font-style: italic;">FANN_ELLIOT, </span><br />
<span style="color: #3333ff; font-style: italic;">FANN_ELLIOT_SYMMETRIC, </span><br />
<span style="color: #3333ff; font-style: italic;">FANN_LINEAR_PIECE, </span><br />
<span style="color: #3333ff; font-style: italic;">FANN_LINEAR_PIECE_SYMMETRIC</span> </blockquote>
<br />
gibi pek çok çeşit var detayı için <a href="http://leenissen.dk/fann/html/files/fann_data-h.html#fann_activationfunc_enum">bakınız</a><br />
<span style="color: #3333ff; font-style: italic;"></span><br />
<br />
<h3>
Uygulama </h3>
Güneş lekeleri<br />
<br />
<blockquote style="font-style: italic;">
Güneş
lekeleri , Güneş'in yüzeyinde (ışık yuvarda), çevresine oranla daha
düşük sıcaklığa sahip olan, ve mıknatıssal etkinliğin gözlemlendiği
bölgelerdir. Her ne kadar 4000-4500 K sıcaklık ile son derece parlak
olsalar da, çevrelerinin 5778 K'de olması, karanlık bölgeler olarak
görüldüklerinden bu ismi alırlar. </blockquote>
Neyse işte insanların işi gücü yok bu lekeleri sayıp <a href="http://www.ngdc.noaa.gov/stp/SOLAR/ftpsunspotnumber.html#international">kaydını</a> tutmuşlar.Biz de bu verileri kullanacağız.<br />
<br />
Öncelikle <a href="http://openbio.sourceforge.net/resources/eigenfaces/Pissarenko2002.zip">Neural networks for financial time series prediction</a>
isimli dosyaya bir göz atın. O yazıda detaylarıyla anlatıldığı gibi
Verileri aldığımız haliyle kullanmayız, ön işlemeden geçirmeliyiz. (
3.4 Design of ANNs in finance kısmı )<br />
<br />
Güneş lekelerinin (2006 -
1980) aralığında aylık ortamalarını raw.dat isimli dosyaya her satır 1
değer olarak kaydedildi. Öncelikle verileri YSA da kullanabilmek için -
Kullandığınız aktivasyon fonksiyonuna göre - (0 , 1) yada ( -1 , 1 )
değerleri arasına çekiyoruz Normalizasyon. Bir ay sonraki ortalama güneş
lekesi sayısını bulmak için önceki 24 ayın değerleri kullanılıyor. 2
adet gizli katman kullanılıyor yani YSA mızın yapısı girişten çıkışa
doğru<br />
<blockquote>
<span style="color: red;">24</span> -> <span style="color: #3333ff;">16</span> -> <span style="color: #3333ff;">7</span> -> <span style="color: red;">1</span></blockquote>
<br />
şeklinde oluyor. Peki Bu değerleri Nasıl belirliyoruz ? derseniz Net bir cevabı yok.<span style="color: red; font-weight: bold;">*</span>
Genellikle Giriş ve çıkış düğüm sayısı bellidir. Saklı katman yada
katmanlardaki düğüm sayıları YSA nın eğitim performansına göre seçilir.<br />
<br />
Programımız<br />
<blockquote style="font-style: italic;">
LoadRawData("raw.dat");<br />
Normalize();<br />
WriteTrainData(24,1,"sunspot.dat");<br />
Train();<br />
Test();<br />
Run();</blockquote>
<br />
dan ibaret<br />
Açıklamalarına gelince<br />
<ul>
<li> <span style="font-weight: bold;">LoadRawData</span> : Ham verileri ismi verilen - <span style="font-style: italic;">Veri dosyasında Her satır 1 veri içeriyor</span>- text dosyasından okuyup data dizisine aktarıyor</li>
</ul>
<ul>
<li> <span style="font-weight: bold;">Normalize :</span> Diziye atılmış verileri -0.8 ile 0.8 arsına çekerek Normalize ediyor</li>
</ul>
<ul>
<li><span style="font-weight: bold;"> WriteTrainData :</span> Normalize edilmiş verileri alıp FANN kütüphanesinin kullanabileceği veri dosyası olarak kaydediyor</li>
</ul>
<ul>
<li> <span style="font-weight: bold;">Train :</span> YSA yı Eğitiyor.</li>
</ul>
<ul>
<li> <span style="font-weight: bold;">Test :</span> test.dat dosyasındaki verileri kullanarak Eğitilmiş YSA'yı test edip sonuçta ulaşılan Hatadeğerini bildiriyor</li>
</ul>
<ul>
<li> <span style="font-weight: bold;">Run : </span> Verilerimizden Rasgele 10 adedini kullanarak YSA çalıştırılıyor ve YSA nın hesapladığı ve gerçek değeri birlikte gösteriyor</li>
</ul>
Şimdi gelelim benim yapmadığım fakat aslında yapılması gereken şeylerden bazılarına<br />
<br />
<blockquote>
1) Veri sayısı yeterince büyük olması lazım<br />
2) Bu veriler <span style="color: red;">Eğitim,</span> <span style="color: red;">Test</span> ve <span style="color: red;">Kontrol</span> için 3 parçaya ayrılıp her işlem için kendine ayrılan veri kulanılması lazım.</blockquote>
<br />
<br />
Sonuçta yazılan projeyi indirmek için : <a href="http://bluekid.mylivepage.com/file/?fileid=2101">SunSpot</a><br />
<br />
<span style="color: red; font-weight: bold;">*</span> bakınız <a href="ftp://ftp.sas.com/pub/neural/FAQ3.html#A_hl">NN_FAQ</a> Bu YSA için yazılmış Sıkça Sorulan Soruları İndirmenizi ve incelemenizde tavsiye ediyorum <a href="ftp://ftp.sas.com/pub/neural/FAQ.html.zip">FAQ</a>. birol kuyumcuhttp://www.blogger.com/profile/09572588641225833614noreply@blogger.com3tag:blogger.com,1999:blog-6738419136161845662.post-6620422485723187472012-11-10T23:08:00.001-08:002012-11-10T23:08:47.159-08:00Diagnosis of Coronary Artery Disease Using ANN / YSA ile Koroner Arter Hastalığı Tanısı<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhgrw2CrWiRRrrvUopF4oQ7fiZbv1FtvGjHDjs4aHlLqQDXO_33-fRpmjR4SZU7s69VGFpqRTJ6MOQzahMuIopiEpk8_qlvihLdtPXnyPGeT86tToHPH17Ljy-FUyv4Z0naop1jPJS-qk7l/s1600/hearth1.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhgrw2CrWiRRrrvUopF4oQ7fiZbv1FtvGjHDjs4aHlLqQDXO_33-fRpmjR4SZU7s69VGFpqRTJ6MOQzahMuIopiEpk8_qlvihLdtPXnyPGeT86tToHPH17Ljy-FUyv4Z0naop1jPJS-qk7l/s320/hearth1.jpg" width="266" /></a></div>
Veri Setini University California Irvine nin ilgili sayfasından <br />
<a href="http://archive.ics.uci.edu/ml/datasets/Heart+Disease">http://archive.ics.uci.edu/ml/datasets/Heart+Disease</a> <br />
indirdik. Bu sayfadaki verilerden biz "Cleveland Clinic Foundation" tarafından oluşturulanları kullandık.<br />
Bu syafada görebileceğiniz gibi bu verilerle pek çok çalışma yapılmıştır<br />
<br />
Bizde YSA ile bir çalışma yapalım istedik.<br />
YSA ya bir şeyler öğretebilmek için eğitim gerekli, Eğitim içinse veri.<br />
<br />Sınıflandırma
yapmamız için etkili olan faktörler tespit edilir - Giriş değişkenleri -<br />
Sonuçta bu faktörlere göre bir sınıflara ulaşırız -Çıkış değerleri - <br />
İşte Bu giriş ve çıkış değerleri YSA nın giriş ve çıkış değerleri
oluyor.<br />
<br />Peki YSA verileri doğrudan verebilirmiyiz ?<br />Malesef
veremeyiz.<br />
YSA da katmanlar arasında veri iletişimi bir çeşit aktivasyon
fonksiyonundan geçerek sağlanır. Bu fonksiyonlarda tipine göre (0 , - 1 )
yada (-1 , 1) aralığında sonuçlar verir. Bu durumda bizim verilerinizi
bu aralıklara çekmemiz lazım.<br />
<br />
Peki Bu normalizasyon işlemini nasıl
yapacağız.<br />
Değişkenin en küçük (min) ve en büyük (max) değerleri tespit
edilir ve bir aralık hesaplanır<br />range = max-min<br />Biz bu uygulamamızda ( 0 - 1) aralığını kullandığımızdan normalizasyon formülümüz şöyle oluyor.<br />
<blockquote class="tr_bq">
<i><span style="color: red;">Norm(x)= (x-min)/range</span></i></blockquote>
ufak
bir tavsiyede bulanayım değişkenin veri kümesinden tespit ettiğimiz min
max değerlerini aralığı hafifçe açacak şekilde genişletirseniz daha
iyi olur. <br />
<br />Giriş değişkeni
eğer mantıksal bir değişkense, (doğru-yanlış) gibi sadece iki değeri
içeriyorsa normalizasyonu gayet kolay değerin biri 0 diğeri 1 olarak seçilir.<br /><br />Peki değişken eğer sayısal değilse ne yapacağız mesela bizim örneğimizde "chest pain type"<br />göğüs ağrısı tipi diye bir değişken var ve bu değişken {angina, abnang, notang, asympt} gibi 4<br />değişik kategoriden oluşuyor. Bu durumda yapacağımız şey bu tip değişkenleri mantıksal değişkenlere bölmek<br />
yani chest pain type değişkenini 4 adet mantıksal alana yayıyoruz<br />
eğer ağrı tipi<br />
<blockquote class="tr_bq">
angina ise 1 0 0 0 </blockquote>
<blockquote>
yok </blockquote>
<blockquote>
notang ise 0 0 1 0 gibi.</blockquote>
Şimdi gelelim verilerimize verilerin aslı aşağıdaki gibi bir matriste tutuluyor<br /><br />60, male, asympt, 140, 293, fal, hyp, 170, fal, 1.2, flat, 2, rev, sick.<br />37, male, notang, 130, 250, fal, norm, 187, fal, 3.5, down, 0, norm, buff.<br />64, male, angina, 110, 211, fal, hyp, 144, true, 1.8, flat, 0, norm, buff.<br /><br />bu matriste 14 sütün var ilk 13 ü giriş değişkenleri son sütün çıkış değişkeni. fakat biz bu<br />değişkenleri YSA ya aktarabilmek için normalize ederken sütün sayımız 25 e çıkıyor nasıl mı oluyor bakınız<br /><br /><br />ANN Dizaynı<br /><br />| Inputs<br />| ------------------------<br />|
-- 1. age :
1 sütun<br />|
-- 2. sex :
1 sütun<br />| -- 3. chest pain type (4 values) : 4 sütun<br />| -- 4. resting blood pressure : 1 sütun<br />|
-- 5. serum cholestoral in mg/dl :
1 sütun <br />| -- 6. fasting blood sugar > 120 mg/dl : 1 sütun<br />| -- 7. resting electrocardiographic results (values 0,1,2) : 3 sütun<br />| -- 8. maximum heart rate achieved : 1 sütun<br />| -- 9. exercise induced angina : 1 sütun<br />| -- 10. oldpeak = ST depression induced by exercise relative to rest : 1 sütun<br />| -- 11. the slope of the peak exercise ST segment : 3 sütun<br />| -- 12. number of major vessels (0-3) colored by flourosopy : 4 sütun<br />| -- 13. thal: ( normal, fixed defect,reversable defect) : 3 sütun<br />25 giriş<br /><br />| Outputs<br />| ------------------------<br />| Absence (1) or presence (2) of heart disease 1 sütun<br /><br />1 Çıkış<br /><br />evet Elimizdeki 180 adet veriyi normalize ettiktten sonra ikiye ayırıyoruz.<br />155
adedi eğitim için 25 adedi test için. ve verileri FANN kütüphanesinin
standartına uygun olarak kaydediyoruz.<br /><br />Bundan sonrasını FannTool'u kullanarak yapacağız. FannTool'u çalıştırın ve Eğitim için Training<br />Data File olaraka "heart_train_data.dat" yükleyin, Test içinde "heart_test_data.dat" 'ı yükleyin.<br />
<br />
Artık Keyfinize ve tecrübelerinize göre eğitim denemelerinini yapabilrsiniz.<br />
<br />ilk etapta saklı katman sayısı (<i><span style="color: red;"># of Layer</span></i>)<br />
ve bu katmanlardaki hücre sayılarını (<i><span style="color: red;">Hid Layer 1</span> </i>...) ayarlaya bilirsiniz.<br />İsterseniz Eğitim metodunu (<i><span style="color: red;">Detect Optimum Training Algorithm</span></i>)<br />
ve Aktivasyon foksiyonlarını (<span style="color: red;"><i>Detect Optimum Activation Function</i>s</span> )<br />
sizin için seçmesini istiyebilirsiniz.<br />Ezberci bir eğitime düşmemek için ( <i><span style="color: red;">Overtraining Caution System</span></i> ) seçeneğini açıp eğitim esnasında test verilerinin hata durumlarını takip edebilirsiniz.<br />Artık <span style="color: red;">Train -> Normal</span>
diyerek YSA eğitimini başlata bilirsiniz. Eğer Belirlediğiniz hata
değerine yada altına ulaşıldığında Eğitilmiş YSA yı kaydetmek için
sizden bir dosya ismi istenir. Bir isim verip kaydedin .net uzantılı
olarak kaydetmeniniz iyi olur.<br /><br />Eğitimin bir diğer metoduda <span style="color: red;">Train->Cascade</span>
dir bu metodda YSA nın Saklı katmanlarını kendisi dinamik olarak
belirler. Siz sadece kullanabileceği maksimum hücre sayısını
belirtebilirsiniz. Bu değeri de FannTool Saklı katmanlardaki hücre
sayılarını giriş ve çıkış hücre sayılarına ekleyerek hesaplar.<br />Ulaştığımız sonuçlar şöyle<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiFSwqLk5w9icn7sCksRrcS_FaYZ4OW5F7XKvwMf8VtawoATAu-U7oBSb_yYHYAFf-1zRJKieV89tjwnhRiunxzuRYme4uCuB4eG0RU7DgbmDyWOqx1tCLXTGNGn5cPby8yqYoUdVEaNbOz/s1600/hearth2.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="362" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiFSwqLk5w9icn7sCksRrcS_FaYZ4OW5F7XKvwMf8VtawoATAu-U7oBSb_yYHYAFf-1zRJKieV89tjwnhRiunxzuRYme4uCuB4eG0RU7DgbmDyWOqx1tCLXTGNGn5cPby8yqYoUdVEaNbOz/s400/hearth2.jpg" width="400" /></a></div>
<br />
<blockquote class="tr_bq">
Eğitim verileri İçin % 91.61 ( 142 Doğru 13 Yanlış )<br />
Test Verileri İçin % 92 ( 23 Doğru 2 Yanlış )</blockquote>
<br /> Eğitimizi tamamlayıp testimizi yaptık ve sonucunda
tatminkar hata değerine ulaştık. Bütün
bunlardan sonrayapılacak şey bir
arabirim yazmaktır. <br />
Onuda yazdık, İndirmek ( Download ) için : <a href="http://derin-deli-mavi.googlecode.com/files/heart.zip">Hearth</a> <br />
Program Tanı için gereken verileri alıp Eğitilmiş YSA ya verileri verip sonucu ondan istiyor ve size gösteriyor. yani kısaca Koroner Arter Hastalığı Tanısı işlemini gerçekleştiriyor.birol kuyumcuhttp://www.blogger.com/profile/09572588641225833614noreply@blogger.com0tag:blogger.com,1999:blog-6738419136161845662.post-23598503652986167672012-11-06T20:18:00.000-08:002012-11-06T21:10:21.572-08:00FANN – neural networks made easyAuthor : <a href="http://swizec.com/">Swizec</a><br />
Source : <a href="http://swizec.com/blog/fann-neural-networks-made-easy/swizec/3714">FANN – neural networks made easy</a><br />
<br />
Over the weekend I was struck with the realization that I don’t know <i>how to use <a class="zem_slink" href="http://en.wikipedia.org/wiki/Neural_network" rel="wikipedia" title="Neural network">neural networks</a> in practice, damn it. </i>Even though a few months ago I realized what neural networks are, even though I’ve tried implementing them, even though I’ve used them in a class setting …<br />
How the hell do you use these things in real life!?<br />
Implement from scratch? … no that can’t be it.<br />
Find a library, write some code, run some tests, fiddle with
features, run a test, fiddle with features, realize everything is slow,
decide to use more layers, fiddle with features, play around with
activation functions, run a test, fiddle with features, rewrite the code
because it’s a mess, fiddle with features, run a test, run the network,
run more tests and so on and on <i>ad nauseum</i>.<br />
That can’t be it either …<br />
<h2>
FANN</h2>
Looking far and wide for a good library to use I stumbled upon <a href="http://leenissen.dk/fann/wp/" target="_blank">FANN – Fast Artificial Neural Networks</a>.<br />
<blockquote>
Fast Artificial Neural Network Library is a free open
source neural network library, which implements multilayer artificial
neural networks in C with support for both fully connected and sparsely
connected networks. Cross-platform execution in both fixed and floating
point are supported. It includes a framework for easy handling of <a class="zem_slink" href="http://en.wikipedia.org/wiki/Training_set" rel="wikipedia" title="Training set">training data</a> sets. It is easy to use, versatile, well documented, and fast. Bindings to more than <a href="http://leenissen.dk/fann/wp/language-bindings/">15 programming languages</a> are available. An easy to read introduction <a href="http://fann.sf.net/fann_en.pdf">article</a> and a <a href="http://leenissen.dk/fann/html/index.html" target="_top">reference manual</a> accompanies the library with examples and recommendations on how to use the library. Several graphical <a href="http://leenissen.dk/fann/wp/graphical-interface/">user interfaces</a> are also available for the library.</blockquote>
Perfect!<br />
Not only has someone gone to the trouble of implementing everything
and making sure it works – nothing sucks more than figuring out whether
you’re using your learning software wrong or it’s just buggy – they even
gave it all the fiddly features I need!<br />
It gets better! There’s a slew of graphical interfaces -> You get
to play with the fiddly bits without even knowing what you’re doing!
Yes!<br />
<u>Put the data in the fann format, load it up, and away you go</u>. Playing
around until you figure out what you’re looking for, then you can just
implement the same thing with the FANN binding of your choice.<br />
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You get to <u>set up the neural network</u></div>
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<u>Fiddly bits!</u></div>
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<u>Watch it converge in real time</u></div>
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<h2>
Done in a few hours</h2>
FANN really saved my skin last night. At least the <a class="zem_slink" href="http://en.wikipedia.org/wiki/Graphical_user_interface" rel="wikipedia" title="Graphical user interface">GUI</a>
did. I still haven’t solved my problem – trying to predict how many
people will read a whole post – but it took me literally a couple of
minutes to realize that the same network can’t be used to predict two
outputs since it won’t even converge.<br />
That’s something very specific to the problem.<br />
<u>I also realized the networks were overfitting my data</u>, then performing poorly on the test.<br />
Another specific thing.<br />
It is because of this incredibly problem-specific nature of most work
involving neural networks that having tools like these is really
important. Who wants to fiddle around with implementing all this stuff
by hand for several hours before even running the first tests?<br />
<span style="color: red;"><u>I probably ran twenty or thirty different configurations in the space
of three hours last night. Could I have done that without a simple
tool? Probably not</u></span> – wouldn’t even have the first configuration
implemented by now.<br />
Now if only the GUI tool calculated precision and recall instead of mean standard error …birol kuyumcuhttp://www.blogger.com/profile/09572588641225833614noreply@blogger.com2tag:blogger.com,1999:blog-6738419136161845662.post-11690490171460084862012-11-05T21:10:00.000-08:002012-11-05T21:11:04.612-08:00Rapport de Projet VidéoBuzz<div class="separator" style="clear: both; text-align: center;">
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<a href="http://projets-gmi.univ-avignon.fr/projets/proj1011/M2/p01/index.html">Rapport de Projet Master -Université d'Avignon </a><br />
<h3>
Description </h3>
Les sites d'hébergement de vidéos déposées par les utilisateurs ont connu un très fort développement ces dernières années. Certaines de ces vidéos ont été consulté par des milliers d'internautes, d'autres restent archivées sans qu'elles soient significativement visionnées. Ce projet consiste à développer un système de prédiction de la fréquentation à court terme d'une vidéo. Cette prédiction pourra utiliser 2 indices complémentaires :<br />
- à partir d'un historique de la fréquentation d'une sur une période donnée (par exemple de 2 jours), on pourra utiliser un système prédictif (par exemple un réseau de neurones) pour faire une estimation de la fréquentation future,<br />
- les utilisateurs ajoutent souvent des méta-données (des tags) aux vidéos déposées. Ces informations et le titre de la vidéo peuvent donner une indication sur le buzz potentiellement généré par une vidéo.<br />
<br />
Outre les propositions de méthodes et leur évaluation objectives, le projet consiste à développer une application Web permettant de visualiser les prédictions réalisées.<br />
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<h4>
Fanntool ; </h4>
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FannTool est un logiciel multi-plateforme développé en C qui fournit un ensemble d’outils permettant l’utilisation de la librairie FANN. FANN ( pour Fast Artificial Neural Network ) est une librairie open-source de réseaux de neurones qui permet à la fois l'entraînement du réseau neuronal et ensuite l’utilisation de celui-ci.<br />
Il faut lui fournir en entrer un fichier respectant ce format:birol kuyumcuhttp://www.blogger.com/profile/09572588641225833614noreply@blogger.com0tag:blogger.com,1999:blog-6738419136161845662.post-50633004059085637522012-11-03T23:16:00.000-07:002012-11-09T08:06:52.498-08:00Handwritten Digit Recognition<div class="separator" style="clear: both; text-align: center;">
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Handwritten digits recognition is a classic problem of machine learning. The objective is to recognize images of single handwritten digits(0- 9). in This example We will apply FANN and FANNTool on this problem. <a href="http://archive.ics.uci.edu/ml/datasets/Semeion+Handwritten+Digit">Semeion Handwritten Digit Data Set</a> is used for training and testing. <br />
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1593 handwritten digits from around 80 persons were scanned, stretched in a rectangular box 16x16 in a gray scale of 256 values.Then each pixel of each image was scaled into a boolean (1/0) value using a fixed threshold. This data set contains no missing values. Each person wrote on a paper all the<br />
digits from 0 to 9, twice. The commitment was to write the digit the first time in the normal way <br />
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and the second time in a fast way <br />
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This data set consists of 1593 records (rows) and 256 attributes (columns). Each record represents a handwritten digit, originally scanned with a resolution of 256 grays scale. Each pixel of the each original scanned image was first stretched, and after scaled between 0 and 1 (setting to 0 every pixel<br />
whose value was under the value 127 of the grey scale (127 included) and setting to 1 each pixel whose original value in the grey scale was over 127). Finally, each binary image was scaled again into a 16x16 square box (the final 256 binary attributes).<br />
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Firstly We train a ANN for this Data set by using FannTool. After that we write a demonstration program to show a results.<br />
<iframe allowfullscreen="allowfullscreen" frameborder="0" height="300" mozallowfullscreen="mozallowfullscreen" src="http://player.vimeo.com/video/52775200" webkitallowfullscreen="webkitallowfullscreen" width="500"></iframe>
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<blockquote class="tr_bq">
<i>Reached ANN prediction Succes ;</i><br />
<i>For Training Data : %100 Succes</i><br />
<i>For Testing Data : % 90.1 Succes </i></blockquote>
birol kuyumcuhttp://www.blogger.com/profile/09572588641225833614noreply@blogger.com0tag:blogger.com,1999:blog-6738419136161845662.post-78339828402292171442012-10-31T01:23:00.000-07:002012-10-31T01:23:17.040-07:00Yapay Sinir Ağları ile Ses Tanıma<div class="separator" style="clear: both; text-align: center;">
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Ses Tanıma genel olarak üç aşamadan oluşuyor.<br />1) Ön işleme<br />2) Öznitelik Çıkarma<br />3) Tanıma ( YSA ile)<br />Deneysel olarak yapılan bu çalışmada RASTA-PLP, MFCC ve LP yöntemleri gerçekleştirildi Bu yazıda akustik vektörlerin MFCC (mel frequency cepstral coefficients) yöntemiyle oluşturulması anlatılıyor. ( deatylı bilgi için <a href="http://derindelimavi.blogspot.com/2012/05/yapay-sinir-aglar-ile-ses-tanma-1.html">YSA ile Ses Tanıma</a> )<br /><br />Küçük bir veri seti hazırlandı 6 değişik kelime 10 kez seslendirildi. Bu ses dosyalarına yukardaki yazıda belirtilen metodlar uygulanarak öznitelik çıkarma işi yapıldı. Çıkarılan bu özniteliklerin 48 tanesini eğitim 12 tanesini test için kullandık.<br /><br /> Giriş : 360<br /> Çıkış : 6<br /><br />şeklinde bir YSA tasarlandı ve FannTool ile eğitildi, Ulaştığımız sonuçlar<br /><br /> Eğitim Verisi : %100<br /> Test Verisi : % 91birol kuyumcuhttp://www.blogger.com/profile/09572588641225833614noreply@blogger.com0