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

采纳的回答

Amit
Amit 2014-1-22
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;

更多回答(1 个)

Greg Heath
Greg Heath 2014-1-22
编辑:Greg Heath 2014-1-22
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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