MATLAB: Trial-and-error or K-fold cross-validation

k fold cross validationneural networkstrial and error

Hello,
As researcher, i would like to ask for efficient algorithm to determine ANN's architecture (number of hidden neurons in one hidden layer),and i can not choose between Trial-and-Error and K-Fold Cross-validation. Indeed, most of researchers use in their articles K-Fold Cross-validation and i do not know why ? Thank you for you answer.

Best Answer

If you search in both the NEWSGROUP and ANSWERS you will see zillions of examples of my two loop solution:
%Outer loop over number of hidden nodes, e.g.,
 rng(0), j=0
 for h = Hmin:dH:Hmax
     j = j + 1
     net = fitnet(h);
     etc ...
%Inner loop over Ntrials sets of random initial weights
     for i = 1:Ntrials
         net = configure(net,x,t);
         etc ...
Hope this helps.
Thank you for formally accepting my answer
Greg
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