feed forward backprob neural network
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Hi I am creating a feed forward backprob neural network using nntool i want to use it for character recognition i have a dataset with 10 class and there are 50 samples from each class ( dataset attached you can download ) . my neural net Configuration is below : Training function : Traingdx Adaption learning function : LEARNGDM
Performance function : SSE Number of layer : 2 Number of neurons in Layer1 : 15 Transfer function : LOGSIG
I create network and trained with sample data but when i simulate network with any of sample inputs the result is always [0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ] ... i do not know whats going wrong please help me thanks ...
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