Does Matlab make an automatic normalization for the input of a network?
24 views (last 30 days)
Show older comments
Osama Tabbakh
on 8 Aug 2019
Commented: Benze Wang
on 4 Dec 2022
Hello everyone,
I am using the function feedforwardnet for my problem. The values are in the inputs very small (7.14078e-09) and I am asking myself if Matlab makes automatic normalization for these values, or should I do it by oneself?
If Matlab does this automatically, could you please refer that, where I find it in the documentation.
Thank you in advance
0 Comments
Accepted Answer
Sai Bhargav Avula
on 12 Aug 2019
Edited: Sai Bhargav Avula
on 12 Aug 2019
Most of the neural network creation functions in the toolbox, like feedforwardnet, automatically assign processing functions to the network input and outputs. These are called process functions and can be overridden after the network.
For this case, the feedforwardnet has removeconstantrows and mapminmax as the processing functions. The mapminmax does normalize the input in the range [-1 1] for your data.
For more details refer the following link for input and output process functions.
2 Comments
Benze Wang
on 4 Dec 2022
The situation I have is that i need to normalize the data in our own way. So is there anyway to cancel the automatic normalization function of feedforwardnet so that I can creat our own?
More Answers (0)
See Also
Categories
Find more on Deep Learning Toolbox in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!