How to do when the inputs ranges for neural network are not so uniform in magnitude ?

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afef
afef 2017-6-14
评论： afef 2017-6-28
Hi,i'm trying to create neural network for classification of EEG signal in which i extacted 9 features that i will use it as inputs for neural network but the problem is that my inputs ranges are not so uniform in magnitude i mean some input can take a very high value numerically compared to other inputs so the big numbers will mask the effect of the smaller numbers. I used the preprocessing function 'mapminmax' but i still have a bad performance so when i do some research i found that i should Transform each input that has always a positive value into logarithm values. Matlab will take these transformed values and apply the normalization to them [-1,1]. For prediction, i should enter not the actual values but the logarithm of the input to the ANN. So i want tp know is this right ? and can i do this transformation of my innputs with matlab?
This how my original input looks like

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Greg Heath
Greg Heath 2017-6-15
编辑：Greg Heath 2017-6-22
Typically, MAPMINMAX only fails when outliers are present.
Try MAPSTD to identify and modify (or delete?) outliers
Hope this helps.
Thank you for formally accepting my answer
Greg
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