Neural Networks manipulation in k fold method

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laplace laplace 2013-5-5

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评论： Greg Heath 2018-12-19

so after using the k-fold method (for validating and testing each subset K times) is there a way to manipulate the k "subnetworks" created? i there a way to make these k networks visible and accesible? Is my question meaningfull? i mean what happenes in k-fold is creating k networks or not?

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Greg Heath 2013-5-6

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The simplest solution is

y = mean( net1(x)+net2(x)+...netk(x));

Any effort to combine weights into one net has to take into consideration the different default normalizations. Therefore, all of the data would have to be standardized or normalized a priori using the same mean/stdv or min/max and the default normalization disabled.

Hope this helps

Thank you for formally accepting my answer

Greg