activation of different states in neural network

Question

hello i want to ask if it is possible to create a neural network in mat lab that is able to have at least 4 states which gets activated randomly based on what input we may give.Suppose I have states A,B,C and D. And suppose If as input i am giving images sequentially some states gets activated randomly based on what type of image input it is or even handwriting input.

John Williams · Accepted Answer

In that case you should use Gaussian hidden nodes
 
 help radbas
 doc radbas
so that one or more will recognize only a particular type of input. Clustering the data beforehand to define the Gaussians will help.
 
Then after you have determined the feature recognition layer, train a linear layer from the outputs that will yield the final answer.
 
Learning is not as effortless as using fitnet or patternnet. However, see if you can use NEWRB, NEWRBE or NEWGRNN.
I have spent many years designing these types of nets for the military. Unfortunately I was not able to take any of my work when I retired. So...

activation of different states in neural network

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