Kshitij Singh answered . 2024-05-18 22:50:10

 %Just relying on default values:
 x = annInput';
 t = annTarget';
 net = fitnet;
 [net tr y e ] = train(net,x,t);
 MSE = mse(e)
% Can obtain trn, val and tst subset indices from tr
% to obtain subsets of y and e and corresponding MSEtrn
% MSEval, MSEtst
%
% For arbitrary X
Y = net(X);

 HOWEVER ...

 DEFAULTS H=10 AND rng = RNG('DEFAULT') ARE OFTEN INNAPPROPRIATE!!!

 In general, use a search for the smallest successful H (for stability) and 
corresponding set of random initial weights.

 I use a double for loop approach over the outer loop H = Hmin:dH:Hmax and 
inner loop i = 1:Ntrials over random number states to find initial weights that will 
yield a sufficiently small value of MSE.

Zillions of examples have been posted on both NEWSGROUP and ANSWERS. Good search words are

 Greg Hmin Hmax

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