What is the appropriate Method to normalize inputs data ????

I used sigmoidal function as activation function in hidden layer (forecasting issues).who is interval can i choose to normalize my inputs datasets [-1,1] or [0.1,0.9] ?? and how can i do it ?? by default i used these following commands :

net.inputs{1}.processFcns = {'removeconstantrows','mapminmax'};
net.outputs{2}.processFcns = {'removeconstantrows','mapminmax'};

Answer 1

[Greg Heath]

The data is automatically normalized in the training function. You do not have to do anything extra except to make sure that your input and target data don't have any errors or outliers.

As far as outlier detection is concerned, I typically use zscore BEFORE training.

Hope this helps.

Thank you for formally accepting my answer

Greg