Back propagation neural network

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Precious Eze
Precious Eze 2017-6-12
回答： Greg Heath 2017-6-13
I trained some data of about 40 points having 2 inputs and 2 targets. After training, the results shows that there is a direct relationship between the output and the target. But the regression value is 1 for the test, training and validation set while the error difference is almost 0 or negative. How do i improve the network performance to get a more reasonable result?

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Greg Heath
Greg Heath 2017-6-13
Insufficient info. Which net? How did you compute regression?
The typical measure of regression performance is mean-square-error.
However, MSE is better understood if it is normalized by the maximum possible value: the average target variance, MSE00
E = target - output % error
MSE = mse(E) %
MSE00 = mean(var(target',1)) % maximum possible mean-square-error
NMSE = MSE/MSE00 & Normalized MSE: 0 <= NMSE <= 1
Hope this helps
Thank you for formally accepting my answer
Greg

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