How to predict future data after training the ANN?

Kshitij Singh answered . 2024-12-20 17:49:15

 %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

Not satisfied with the answer ?? ASK NOW