I have written some bindings from the SNNS (Stuttgart Neural Network Simulator) to R. However, this work is not finished since the lack of interest to it and lack of time. At the moment, I use the mixture of scripts for R, cmd.exe, bash, and SNNS' batchman (latter two under cygwin) in my work.
SNNS by itself is rather feature rich and well documented. Unfortunately its development has stopped many years ago, and it contains bugs, which I still failed to find and eliminate. Ehsan Rasa wrote: > > Hi everyone, > > I'm a graduate student of engineering, lately introduced with R. and using > R > for my project and thesis. I'm trying to use R for implementing a neural > network regression model and apply it to my database. I found three R > packages ("AMORE" , "grnnR" , "neural") in R website, but their manuals > are > not really user-friendly in my idea. I was wondering if anyone has a > written > code in R using any of these packages for a feed-forward back-propagation > neural network in R that I can use it. That'll be a remedy for my > nightmare > which already took quite time from me. > I would really appreciate it. > > Sincerely, > Jason. > -- View this message in context: http://www.nabble.com/Neural-Net.-in-R-tf3877741.html#a10991934 Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@stat.math.ethz.ch 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.