[R] NNet value and convergence
ligges at statistik.uni-dortmund.de
Tue Sep 30 11:54:39 CEST 2003
Hannah Wood wrote:
> I'm using the R nnet package and have a few simple (?) questions.
> What is the "value " that is output after every 10 iterations during the training of the network and how is it calculated?
> # weights: 177
> initial value 506.134586
> iter 10 value 128.222774
> iter 20 value 95.399782
> iter 30 value 87.184564
> Is the "value" the error, if not, is there any way to see the error values during training?
"value of fitting criterion plus weight decay term."
> Also, how does the network decide when it has converged?
More than one criterion. You can adjust the criterions with arguments to
nnet(), see ?nnet.
Please read the references given in ?nnet for more details:
- 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.
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