[R] Neural Net. in R

[Kuhn, Max]

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.

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