[R] Neural Networks in R

Ko-Kang Kevin Wang kwan022 at stat.auckland.ac.nz
Wed Aug 20 13:14:17 CEST 2003


Venables and Ripley's "Modern Applied Statistics with S", 4th Ed, 

It is the best book and has a large section devoted to using the nnet 

Of course, you need to understand the theory first....;-D

On Wed, 20 Aug 2003, Miriam Dreißig wrote:

> Date: Wed, 20 Aug 2003 12:54:18 +0200 (MEST)
> From: Miriam Dreißig <miriam.30 at gmx.de>
> To: R-help at stat.math.ethz.ch
> Subject: [R] Neural Networks in R
> Hello!
> We are a group of three students at Bielefeld University currently working
> on a statistical projects about neural networks. Within the framework of this
> project we are supposed to use the nnet-function in R and explain how it
> works. Since anyone of us has much experience in using R we hoped to find some
> information on your homepage. Unfortunatelly, we haven't been very successfull
> so far.
> We were wondering if you happen to know any books or articles which deal
> with neural networks in R or if you could tell us were we can find such
> information.
> We would highly appreciate if you could help us on that matter.
> Thank you very much in advance.
> Best regards,
> Anne Bruns, Miriam Dreißig, Sascha Hartung



"On two occasions, I have been asked [by members of Parliament],
'Pray, Mr. Babbage, if you put into the machine wrong figures, will
the right answers come out?' I am not able to rightly apprehend the
kind of confusion of ideas that could provoke such a question."

-- Charles Babbage (1791-1871) 
---- From Computer Stupidities: http://rinkworks.com/stupid/

Ko-Kang Kevin Wang
Master of Science (MSc) Student
SLC Tutor and Lab Demonstrator
Department of Statistics
University of Auckland
New Zealand
Homepage: http://www.stat.auckland.ac.nz/~kwan022
Ph: 373-7599
    x88475 (City)
    x88480 (Tamaki)

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