How to normalize a data serie which have negative and positive values for Prediction through ANN?
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Hey,
I want normalize a data serie for prediction. The serie has negative and positive data.
First question, can I normalize data between 0 and 1 or should I normalize it between -1 and 1?
Second question, how do I normalize between -1 and 1?
Thank you
채택된 답변
Amit
2014년 1월 22일
I dont know what is ANN.
But for normal scenarios, lets say your data is variable A.
factor = max([max(A) abs(min(A))]);
normalized_data = A/factor;
추가 답변 (1개)
Greg Heath
2014년 1월 22일
편집: Greg Heath
2014년 1월 22일
Normalization to [ -1, 1] is a default for most of the ANN functions. This includes the most important timeseries functions timedelaynet, narnet and narxnet.
Details are available in the help and doc documentation. For example,
help narxnet
doc narxnet
Hope this helps.
Thank you for formally accepting my answer
Greg
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