[R] NNET re-building the model

[Prof Brian Ripley]

This is almost unreadable (is your space bar broken?) but you seem to be 
missing the non-linearity of the hidden units.

The definition is in the book nnet (sic) supports, in a layout I cannot 
reproduce in plain text.

On Mon, 16 Jul 2007, dos Reis, Marlon wrote:

> Hello,
> I've been working with "nnet" and  now I'd like to use the weigths, from
> the fitted model, to iterpret some of variables impornatce.
> I used the following command:
> mts <- nnet(y=Y,x=X,size =4, rang = 0.1,
>             decay = 5e-4, maxit = 5000,linout=TRUE)
> X is (m x n) Y is (m x 1)
> And then I get the coeficients by:
> Wts<-coef(mts)
>
> b->h1        i1->h1        i2->h1        i3->h1        i4->h1
> i5->h1        i6->h1        i7->h1 ...
> b->o         h1->o         h2->o         h3->o         h4->o  ...
>
> I understood that I should get the predicted Y (hat(Y)) by:
>
> hat(Y)=
> (b->o)+((b->h1)sum(X[,1:m]*Wts[i1:m-h1]+X[,1:m]*Wts[i1:m-h2]+...+X[,1:m]
> *Wts[i1:m-h4]))*(h1->o)+
> ((b->h2)sum(X[,1:m]*Wts[i1:m-h2]+X[,1:m]*Wts[i1:m-h2]+...+X[,1:m]*Wts[i1
> :m-h4]))*(h2->o)+...)
> Am I missed some point on this definition of NNET.
> Thanks in advance,
> Best Regards,
> Marlon !!!
>
>
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-- 
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)
1 South Parks Road,                     +44 1865 272866 (PA)
Oxford OX1 3TG, UK                Fax:  +44 1865 272595