how to calculate the error in Neural Network Back Propagation Network

sir,

My doubt regards how to make the minum error rate =0.001

net = newff(input,target,10,{'tansig' 'purelin'},'trainlm');

nsch.trainparam.show=3;
nsch.trainparam.lr=0.1;
nsch.trainparam.mc=0.9;
nsch.trainparam.epochs=100;
nsch.trainparam.goal=1e-30;

net = train(net,input,target);
res=sim(net,input);

Answer 1

[Greg Heath]

Use as many defaults as possible

 MSEgoal = 0.01*mean(var(target',1))
 MinGrad = MSEgoal/100

 net = newff(input,target);
 net.trainParam.goal     = MSEgoal;
 net.trainParam.min_grad = MinGrad;

 [ net tr output error ] = train(net, input, target);

For details, search ANSWERS using the search word msegoal

Hope this helps.

Greg

Thank you for formally accepting my answer

Greg