[Time Series Tool] [ Learning Alghoritm ]
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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
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Greg Heath
2012-12-27
编辑：Greg Heath
2012-12-27
0 个投票
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
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