How can I improve the performance prediction of a net in extrapolation

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Training data are in [minTrain maxTrain], test data are in [minTest maxTest] such as 30% (for instance) of the data are outside the range [minTrain maxTrain]. It is known that neural networks do not work well in extrapolation. How can I improve the network predictions in this case just to have acceptable results. Do you have any idea?

Accepted Answer

Greg Heath
Greg Heath on 25 Nov 2014
Use whatever info you have to fabricate additional data.
Greg Heath
Greg Heath on 11 Dec 2014
Not much more to say. If theory and/or non-training data gives you some idea of data characteristics beyond those limits, use tat info to fabricate training data with those characteristics.

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