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. [[alternative HTML version deleted]]
Jason, Your best bet is the nnet package. It is part of the VR bundle, which may be why you missed it. The code is well documented and the package is closely tied to two books (see the references in ?nnet). Also, it has a predict function, which many of the others do not. This isn't too big of a deal, but it certainly speaks to good design. Max -----Original Message----- From: r-help-bounces at stat.math.ethz.ch [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Ehsan Rasa Sent: Tuesday, June 05, 2007 11:45 PM To: r-help at stat.math.ethz.ch Subject: [R] Neural Net. in R 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. [[alternative HTML version deleted]] ______________________________________________ R-help at 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. ---------------------------------------------------------------------- LEGAL NOTICE\ Unless expressly stated otherwise, this messag...{{dropped}}
Hi, there, I am surprised you didn't mention nnet package. You can find very good information in Dr Ripley's MASS book about the usage of nnet package. On 6/5/07, Ehsan Rasa <eh.rasa at gmail.com> 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. > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at 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. >-- WenSui Liu A lousy statistician who happens to know a little programming (http://spaces.msn.com/statcompute/blog)
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.