How do I get the mse after trainin a NN?

Hi everyone,

I want to receive the mse from the trained neural network. To make it simple i form a 3 loops, where the out-of-sample time period is t=12, j=2 is the number of predictor and i=2 are the hidden units. Hence, at the end I should receive 2 mse, one for each predictor. I run the following code but the result doesn't look right. Any help please?

>> net = fitnet(hiddenLayerSize);
net.divideParam.trainRatio = 70/100;
net.divideParam.valRatio = 30/100;
net.divideParam.testRatio = 0/100;
net.trainParam.showWindow=false;
% net.trainFcn = 'trainbr';
% net.trainFcn = 'trainscg';
for t=1:12;
for j=1:2;
for i=1:2
[net,tr] = train(net,inputs(j,1:60+t-1),targets(:,2:60+t));
outputs = net(inputs(j,60+t));
errors = gsubtract(targets,outputs);
performance = perform(net,targets,outputs);
MSEtrn(j) = tr.perf(end)
MSEval = tr.vperf(end)
MSEtst = tr.tperf(end)
end;
end
end

Thanks in advance!

Answer 1

[Greg Heath]

There is no reason to consider individual vector components.

Rewrite your code in vector form like most of the code that is posted in both NEWSGROUP and ANSWERS. For example, search on

 greg fitnet train

Hope this helps.

Greg