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nonsignificant
2008 Apr 26
1
Variables selection in Neural Networks
...1, linout=F, skip=T, maxit=200, Hess=T)
What I am doing is to vary size between 0 and 1 since with a single layer it
can learn any type of function or continuous relation between a group of
input and output variables. But this only would give two different models.
The ideal would be to be reducing nonsignifictive variables. How I can prove
other different models?
Regards.
_Fede_
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