cross validation for neural network

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......

Answer 1

[Greg Heath]

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