How to normalize a data serie which have negative and positive values for Prediction through ANN?

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

[Amit]

what is ANN?

Answer 1

[Amit]

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;

[Numan]

ANN is Artifical Neural Networks. Thanks for your answer, it was helpful :)

Answer 2

[Greg Heath]

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