On 18.06.2010 01:10, Changbin Du wrote:
nnet.fit<-nnet(as.factor(out) ~ ., data=all_h, size=5, rang=0.3,
decay=5e-4, maxit=500) # model fitting
summary(nnet.fit)
a 23-5-1 network with 126 weights
options were - entropy fitting decay=5e-04
HI, Guys,
I can not find the manual to describe how the model is built, is there a
more detailed description how nnet package works?
?nnet cites two books, both really helpful:
Ripley, B. D. (1996) Pattern Recognition and Neural Networks. Cambridge.
Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with
S. Fourth edition. Springer.
Uwe Ligges
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