With what parameters we can identify whether the neural network is properly trained or not

I am new to neural networks.I have created & trained the neural network using nprtool in matlab.I am getting a network,but doesn't know whether the network properly works or whether the network has to be trained again.

With what parameters I can know this.When the neural network will be trained properly.

Answer 1

[Greg Heath]

Use NMSE, the normalized-mean-square-error, related to the Rsquare (See Wikipedia) statistic:

          0 <= NMSE = 1-Rsquare <= 1

 NMSE = mse(target-output)/MSEref

where the reference MSE is obtained from the naïve constant output model

 outputc = mean(target,2)

 MSEref = mse(target - mean(target,2))

        =  mean(var(target',1))

If your NMSE is > 1, that means that your design is worse than just assuming the output is a constant!

Hope this helps

Thank you for formally accepting my answer

Greg

PS search both NEWSREADER and ANSWERS using

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[Nithya SIvasamy]

Thank you for providing the answer