How to evaluate the neural network by adjusted r-squared?

Hi,everyone. I am using a back-propagation neural networks(BPNNs) to fit a economic nonlinear curve. The structure of the BPNNs is 7 nodes in input layer, 10 nodes in hidden layer and 1 node in output layer. Moreover, the dataset holds 36 samples. After training, I want to use the adjusted R-squared to evaluating the performance on the regressed curve of BPNNs. How can I define the n and p in the adjusted R-squared formula in here? And, is it right to use the adjusted R-squared to evaluating the neural networks? Thank you!!

Answer 1

[Greg Heath]

Search the NEWSGROUP and ANSWERS using

 greg R2a

Hope this helps.

Thank you for formally accepting my answer

Greg

[Greg Heath]

The only reason to evaluate a net using R2a is because you do not have enough data to use a sufficiently large nontraining test set.