A reasonable place to start would be to look at the packages recommended in the Machine Learning section of CRAN Task Views: http://cran.r-project.org/web/views/MachineLearning.html . You could also try to search the archive for this list which often recommend the same package (e.g. http://tolstoy.newcastle.edu.au/R/e2/help/07/06/18360.html).
Hope this helps, Allan. On 01/07/09 20:45, Brigid Mooney wrote: > Hi, > > I am starting to play around with neural networks and noticed that there are > several packages on the CRAN website for neural networks (AMORE, grnnR, > neural, neuralnet, maybe more if I missed them). > > Are any of these packages more well-suited for newbies to neural networks? > Are there any relative strengths / weaknesses to the different > implementations? > > If anyone has any advice before I dive into this project, I'd appreciate > it. > > Thanks! > > [[alternative HTML version deleted]] > > ______________________________________________ > [email protected] 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. > [[alternative HTML version deleted]] ______________________________________________ [email protected] 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.
