Hi Lars,
I'd like to ask your guidance regarding the following two questions: (i) I just finished reading Chris Bishop's book "Neural Networks for Pattern Recognition". Although the book gave me good theoretical foundation about NN, I'm now looking for something more practical regarding architecture selection strategies. Is there any good reference about "best practices" for architecure selection? (ii) Which R package provides a good implementation of NN?
The CRAN Task View on Machine Learning http://cran.r-project.org/web/views/MachineLearning.html opens with the following topical item: o Neural Networks : Single-hidden-layer neural network are implemented in package nnet as part of the VR bundle (shipped with base R). HTH, Tobias ______________________________________________ R-help@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.
