How to evaluate the neural network by adjusted r-squared?
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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!!
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Greg Heath
2015-11-23
Search the NEWSGROUP and ANSWERS using
greg R2a
Hope this helps.
Thank you for formally accepting my answer
Greg
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Greg Heath
2015-11-25
编辑:Greg Heath
2015-11-25
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.
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