How to increase train features in a neural network classifier???

Sir, I am training 1 by 256 feature values,but i can train only 2 rows like that (i.e one row of 256 column values and the next row of 256 column values)..When i entered the third row a error war throwing out...

The below is my error: Error using network/subsasgn>network_subsasgn (line 528) net.IW{1,1} must be a 2-by-256 matrix.

Error in network/subsasgn (line 13) net = network_subsasgn(net,subscripts,v,netname);

Error in newpnn>create_network (line 122) net.iw{1,1} = p';

Error in newpnn (line 66) net = create_network(param);

Error in grad3D1 (line 47) net = newpnn(Trainfeature',T,spread);

My coding is: load flow.mat load Trainfeature load Truelabel

T = ind2vec(Truelabel'); spread=1; net = newpnn(Trainfeature',T,spread); Y = net(testfeature'); output = vec2ind(Y);

if output==2 % Trainfeature == Testfeature; h1 = msgbox('Fire Detected','ALERT'); %else %output==1 %h1 = msgbox('Fire Not Detected','ALERT'); end

Answer 1

[Greg Heath]

Oh, Wait a minute! You are using NEWPNN which uses all of the data for training.

I recommend using NEWRBF instead.

To separate N I-dimensional examples into c classes, the target matrix columns should be columns of eye(c) and

 size(input)  =  [ I N ] 
 size(target) = [ c N ]

with

 N >> max(I,c)

If you standardize your inputs and outputs then

 zx = zscore(input',1)';
 zt = zscore(target',1)';
 MSEgoal = 0.01
 spread ~ 1

usually works for both NEWRB and NEWPNN..

Search the NEWSGROUP and ANSWERS for some of my examples.

 greg newpnn
 greg newrb

Hope this helps.

Thank you for formally accepting my answer

Greg