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questions on training images

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Ampi
Ampi 2012-11-28
Hello,
I am facing a problem with training of images. I have a 2D matrix where each row represents a class and in this manner I have 20 classes and each class contains only 1 image of a person. Now I have the final training matrix consisting of 20 rows and 20 columns out of which I have chosen 10 most distinguished feature vectors.So, both my training-matrix consists of 20X20 dimensions and my target matrix contains 20X20 dimensions. Now my problem is, while training using newff function, I have set the following parameters:-
net.trainParam.epochs=200;
net.trainParam.goal=3e-5;
net.trainParam.show=50 ;
net.trainParam.lr=0.06;
net.trainParam.passes=99;
The problem is if I increase the number of distinguished vectors by 30/40, the training is stopping at 13 iterations. But, how can I train my samples for, say, 200 iterations? And are the parameters set by me above all right for 20X20 vectors because I am not getting a very good recognition rate? Kindly help.

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