R help - Jun 2008 - Akaike or BIC criteria for feed-forward neural nets

Hello all,

I would like to know whether there exists any way to calculate the AIC 
or the BIC criteria for a nnet object (not only in the multinomial 
case).
Commands like stepAIC, AIC or extractAIC do not work with a feed 
forward neural net and I cannot find any command that deals with nnet 
objects.

Best

jm~

_______________________________

        J. Miguel Marin

http://www.est.uc3m.es/jmmarin

    Dep. of Statistics
University Carlos III of Madrid
        Spain (E.U.)

On Mon, 30 Jun 2008, J. Miguel Marin wrote:
> Hello all,
>
> I would like to know whether there exists any way to calculate the AIC or
the
> BIC criteria for a nnet object (not only in the multinomial case).
> Commands like stepAIC, AIC or extractAIC do not work with a feed forward 
> neural net and I cannot find any command that deals with nnet objects.
They are not defined for most nnet fits -- they need a maximized 
likelihood, and no neural-net fitting package gives you that.
>
> Best
>
> jm~
>
> _______________________________
>
>       J. Miguel Marin
>
> http://www.est.uc3m.es/jmmarin
>
>   Dep. of Statistics
> University Carlos III of Madrid
>       Spain (E.U.)
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
-- 
Brian D. Ripley,                  ripley at stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
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