MATLAB: How to set target for neural network

bcineural networksp300based bcisignal processing

I had extracted feature vector of a signal and saved it in a excel document. feature vector is 128*1922 dimension. I don't know how to create target for this input so i can train the neural network. I need to do signal classification. 35 classes. So, how do i create target vector and train the network?

Best Answer

 [ I N ] = size(input) % [ 128 1922 ]
 [ O N ] = size(target) %[  35 1922 ]
Where target columns are columns of the unit matrix eye(35). The relationship between trueclassindices in {1:35} and the corresponding target is
 target = full(ind2vec(trueclassindices))
 trueclassindices = vec2ind(target)
Estimated output indices are obtained from
 output = net (input);
 estimatedindices = vec2ind(output);
with
 errors = estimatedindices ~= trueclassindices;
 Nerrs = sum(errors)
 Pcterr = 100*Nerrs/N
I have posted MANY detailed examples in BOTH the NEWSGRIOUP and ANSWERS.
Hope this helps.
Thank you for formally accepting my answer
Greg
Related Question