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

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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 2017년 6월 15일
편집: Greg Heath 2017년 6월 22일
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
  댓글 수: 9
Greg Heath
Greg Heath 2017년 6월 27일
I can't tell with tabulations. I tend to relay on linear and scatter plots.
Greg
afef
afef 2017년 6월 28일
How can i do this linear and scatter plots ?

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