MATLAB: Debug Mode when train

backpropagationdebuggingimage processingneural network

Can you help me????
I have code like this
    [imagefile] = imread([direktori,namafile],'bmp');
    filegambar = im2bw(imagefile,0.5);
    imagefile = bwmorph(~filegambar,'thin','Inf');
    P= imagefile(:,1:200)';
    T= imagefile(:,1:200)';
    [pn,meanp,stdp,tn,meant,stdt]=prestd(P,T)
    net=newff(minmax(pn),[4,3,1], {'tansig' 'logsig' 'purelin'},'traingdm');
    net.IW{1,1}
    net.b{1}
    net.LW{2,1}
    net.b{2}
    net.LW{3,2}
    net.b{3}
    net.trainParam.lr = 0.1
    net.trainParam.goal = 0.00001
    net.trainParam.epochs = 500
    net.trainParam.show = 500
    net=train(net,P)
but when i write this code "net=train(net,P)" , the result is nothing, even out of debug mode,
Can show where the error??
and Can you give me a solution for??
I really need your help

Best Answer

    [imagefile] = imread([direktori,namafile],'bmp');
    filegambar = im2bw(imagefile,0.5);
    imagefile = bwmorph(~filegambar,'thin','Inf');
    P= imagefile(:,1:200)';
    T= imagefile(:,1:200)';
WHAT IS THIS NET SUPPOSED TO DO?
WHATEVER IT IS P AND T SHOULD NOT BE EQUAL.
PLEASE EXPLAIN P,T AND THEIR DIMENSIONS.
    [pn,meanp,stdp,tn,meant,stdt]=prestd(P,T)
    net=newff(minmax(pn),[4,3,1], {'tansig' 'logsig' 'purelin'},'traingdm');
YOU ONLY NEED ONE HIDDEN LAYER.
CHOOSE THE NUMBER OF HIDDEN NODES BY TRIAL AND ERROR.
SEARCH THE NEWSGROUP USING
HEATH NEQ NW
FOR A 1-D OUTPUT SIZE(T) = [ 1 N ]
    net.IW{1,1}
    net.b{1}
    net.LW{2,1}
    net.b{2}
    net.LW{3,2}
    net.b{3}
    net.trainParam.lr = 0.1
    net.trainParam.goal = 0.00001
    net.trainParam.epochs = 500
    net.trainParam.show = 500
IT IS USUALLY BEST TO BEGIN WITH DEFAULTS AND THEN CORRECT AS NEEDED.
    net=train(net,P)
NO. YOU HAVE STANDARDIZED THE INPUTS. THEREFORE USE pn.
but when i write this code "net=train(net,P)" , the result is nothing, even out of debug mode,
HARD TO COMMENT ON THAT UNTIL YOU MAKE THE ABOVE CORRECTIONS.
P.S. i DID NOT CHECK THE FIRST 3 COMMANDS. SO, DO SO BEFORE RERUNNING,
HOPE THIS HELPS.
GREG
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