search for: nonsignifictive

...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_ -- View this message in context: http://www.nabble.com/Variables-selection-in-Neural-Networks-tp16911299p16911299.html Sent from the R help mailing list archive at Nabble.com.