MATLAB: How to normalize new inputs with mapminmax

Question

Hello, I have normalized my data with mapminmax which gives values between -1 and 1. However, when I present new inputs to my network, knowing that the max of these is greater than the maximum of the training data, I will have As the normalization interval [-1,1.5]. what do you think ?

Answer 1

You do not HAVE to normalize anything because the neural net AUTOMATICALLY normalizes input and target to [-1,1].

HOWEVER, I RECOMMEND USING MAPSTD BEFORE TRAINING in order to detect and either modify or remove outliers.

My advice:

 1. Size input and target matrices
 2. Plot x, t, and t vs x 
 3. Apply MAPSTD to deal with outliers
 4. If outliers are modified or removed, 
   replot the affected variables.
 5. Train and obtain e = t-y
 6. plot  y & t and e

Hope this helps

Thank you for formlly accepting my answer.

Greg