1) there are plenty of data for neural net testing in R. you might check datasets package on CRAN. 2) which neural net are you talking about, BP, RBF, LVQ, or something else. the world of neural nets is pretty much like a zoo. without knowing which animal you are talking about, nobody can help you.
On Sun, Jan 3, 2010 at 3:54 PM, Alex Olafson <alex.olaf...@yahoo.com> wrote: > Hi! I am studying to use some R libraries which are applied for working > with artificial neural neworks (amore, nnet). Can you recommend some > useful, reliable and easy to get example data to use in R for creating > and testing a neural network? And what library will you advise? > > > > __________________________________________________________________ > The new Internet Explorer® 8 - Faster, safer, easier. Optimized for Yaho > [[alternative HTML version deleted]] > > > ______________________________________________ > 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. > > -- ============================== WenSui Liu Blog : statcompute.spaces.live.com Tough Times Never Last. But Tough People Do. - Robert Schuller ============================== ______________________________________________ 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.
