[Time Series Tool] [ Learning Alghoritm ]

Hi, I just saw that there are several learning alghoritm like:

* trainlm % Levenberg
* traingd % Polak 
* ..
* ..

In Neural Time series Tool Levenberg is the default.

Are there cases when I could use an another one?

My target is make prediction of power consume in a office, having some parameters like Temperature, irradiation, mounth ecc..

I just tried with traingdx to use momentum ad adaptive learning rate but I am obtaining bad results in confront of trainlm, but I dont know why.

I hope you can help me.

EDIT: I just tried that each alghoritm based on gradient descendent (traingd,a,traingdm) works very very bad and performance never improve through epoch! Why?

Enrico

Answer 1

[Greg Heath]

Why don't you use all of the defaults unless you have a specific reason for not doing so.

Once you get a successful design then you can change a default and see the effect on your previous results.

Changing more than one default at a time may thwart your efforts at understanding.

Perhaps a good way to start is to use one of the MATLAB data sets that are used in the documentation.

Hope this helps.

Greg