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: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Ehsan Rasa Sent: Tuesday, June 05, 2007 11:45 PM To: [email protected] 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]] ______________________________________________ [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. ---------------------------------------------------------------------- LEGAL NOTICE\ Unless expressly stated otherwise, this messag...{{dropped}} ______________________________________________ [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.
