MATLAB: Increasing the number of epochs to reach the performance goal

Deep Learning Toolboxneural networks

Hello,
I am training the neural network with input vector of 85*650 and target vector of 26*650. Here is the list of parameters that I have used
     net.trainParam.max_fail = 6;
     net.trainParam.min_grad=1e-5;
     net.trainParam.show=10;
     net.trainParam.lr=0.9;
     net.trainParam.epochs=13500;
     net.trainParam.goal=0.001;
Number of hidden nodes=76
As you can see ,I have set the number of epochs to 13500. Is it OK to set the number of epochs to such a large number?. Performance goal is not reaching if the number of epochs is decreased and I am getting a bad classification while testing.

Best Answer

 [ I N ] = size(input) % [ 85 130 ]
 [ O N ] = size(output) % [ 26 130 ]
 Ntrn   = N - 2*round(0.15*N)% 90
 Ntrneq = Ntrn*O        %  2340 training equations
%Nw = (I+1)*H+(H_1)*O % unknown weights
% Ntrneq >> Nw, or equivalently, H << Hub where
 Hub = -1+ceil((Ntrneq-O) / (I+O+1))  % 20
Try to minimize I and H while using as many defaults as possible.
I don't remember ever having to incease the default numepochs.
Greg
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