(Neural network toolbox for classification and an example.) |
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[[Category:Matlab Neural Network Toolbox for Classification]] | [[Category:Matlab Neural Network Toolbox for Classification]] | ||
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| + | You can download SVM library in the following link | ||
| + | http://www.csie.ntu.edu.tw/~cjlin/libsvm/ | ||
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| + | You need to download the following file from the link | ||
| + | MATLAB A simple MATLAB interface LIBSVM authors at National Taiwan University. 2.85 Zip | ||
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| + | When you run 'make_win.m' in the Matlab command prompt it will generate dll files which are callable in Matlab. | ||
| + | Before running 'make_win.m' you need to setup the default compiler used by mex by running 'mex -setup' | ||
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| + | [[Category:Downloadable SVM libraries in C and how to run in Matlab]] | ||
Revision as of 23:23, 9 March 2008
You can find an example for classifying a data using Matlab in the following link
http://www.igi.tugraz.at/lehre/EW/tutorials/nnt_intro/index.html
In the file 'nnt_intro_classification.m' it creates NN with 5 hidden units, 3 output units, logsig activation function for each layer. You need to change the configuration to improve the performance and refer to the pdf file in the downloaded zipped file.
You can download SVM library in the following link
http://www.csie.ntu.edu.tw/~cjlin/libsvm/
You need to download the following file from the link
MATLAB A simple MATLAB interface LIBSVM authors at National Taiwan University. 2.85 Zip
When you run 'make_win.m' in the Matlab command prompt it will generate dll files which are callable in Matlab. Before running 'make_win.m' you need to setup the default compiler used by mex by running 'mex -setup'
