cross validation for neural network

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kelvina 2014-2-7

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回答： Greg Heath 2014-2-12

采纳的回答： Greg Heath

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i want to use cross validation method to decide the number of hidden neurons of a neural network.

i want 5 fold cross validation. and right now i am using following NN architecture:

if true
    net=newff(minmax(in'),[7,3],{'tansig','purelin'},'traingdx');
    net.trainParam.show = 50;
    net.trainParam.lr = 0.05;
    net.trainParam.mc = 0.7;
    net.trainParam.epochs = 3500;
    net.trainParam.goal = 1e-2;
    a1 = net.b{1};
    a2 = net.b{2};
    w1 = net.iw{1};
    w2 = net.lw{2};
  end

how can i use cross validation for this. and where the errors of each fold will be stored......

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Greg Heath 2014-2-12

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Search the NEWSGROUP and ANSWERS using

greg crossvalidation

and

greg cross-validation

and

greg cross validation

Please post the addresses of any posts that are useful.

Hope this helps.

Thank you for formally accepting my answer

Greg

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