Dear all,
I am new to MATLAB and I have been working with neural networks. I know that there are several stopping criteria for the algorithms but more often than not it is the minimum MSE in the validation set that leads to termination. I am well aware of how important this is but for the purposes of comparison I would like the training to stop at a local minimum instead. Could you please tell me how I can accomplish that?
What I thought about doing afterwards is compare these two stopping rules in a test set and take note of the regression R^2 that is obtained. Of course the validation stopping rule is vastly superior in that respect but I would like to gather some evidence for that.
Thank you in advance.
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