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!!
MATLAB: How to evaluate the neural network by adjusted r-squared
evalutionneural networkr-squared
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