MATLAB: How to predict future data after training the ANN

annDeep Learning Toolboxpredictwaveswind

Hi,
My name is Ali. I have trained my network with my input data (wind Speed) and output data (Wave Height) and got good results. Also, i have my future data (Wind Speed) obtained from GSM from 2080 to 2100, so eveything is ready to perdict wave heights from 2080 to 2100. Please take a look at the screen shot attached to see what the codes are. If someone can help me how i can do the final stage, I would really apperciate it.
Kind Regards Ali

Best Answer

 %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
Thank you for formally accepting my answer
Greg
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