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

Akzeptierte Antwort

Greg Heath
Greg Heath am 15 Jun. 2017
Bearbeitet: Greg Heath am 22 Jun. 2017
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
  9 Kommentare
Greg Heath
Greg Heath am 27 Jun. 2017
I can't tell with tabulations. I tend to relay on linear and scatter plots.
Greg

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