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

1 次查看（过去 30 天）

afef 2017-6-14

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/344813-how-to-do-when-the-inputs-ranges-for-neural-network-are-not-so-uniform-in-magnitude

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