neural network training

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Demonis

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What does it mean when after a few epochs the training is stopped with "Minimum gradient reached". It happens with neural network with 2 or 3 hidden layers (20-30 neurones in a layer). I make a training in Matlab with trainbr-function. After such a short training ANN is not good at all (a lot of errrors more than 50%).
 

You should try various of parameter in the neural network training. I never use the built in neural network in matlab, in fact, I write the neural network myself.
 

The analysis with SOM NN showed that different input data produces approximately the same output value . Perhaps that the reason for poor training???
 

Im not very sure about the real reason, as I have no idea what type of NN you're using.

For SOM, this NN is suitable for categorization and grouping.
 

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