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From: saswss@unx.sas.com (Warren Sarle)
Subject: Frequently Asked Questions (FAQ) -- weekly reminder
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Date: Tue, 19 Dec 1995 20:52:14 GMT
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Last-modified: 1995/05/09
URL: http://wwwipd.ira.uka.de/~prechelt/FAQ/neural-net-faq.html

This is a reminder for the existence of a monthly posting to the
Usenet newsgroup comp.ai.neural-nets. The posting is called
   FAQ in comp.ai.neural-nets
where FAQ stands for 'Frequently Asked Questions'.

Its purpose is to provide basic information for individuals who are
new to the field of neural networks or are just beginning to read this
group. It shall help to avoid lengthy discussion of questions that usually
arise for beginners of one or the other kind.


>>>>> SO, PLEASE, SEARCH THE FAQ POSTING FIRST IF YOU HAVE A QUESTION <<<<<

                           AND

>>>>> DON'T POST ANSWERS TO FAQs: POINT ASKERS TO THE FAQ POSTING <<<<<


The FAQ posting departs to comp.ai.neural-nets on the 28th of every month.
It is also sent to the group news.answers where it should be available
at any time (ask your news manager). This reminder is posted every Sunday
(except when the new FAQ maintainer screws up).

The FAQ posting is archived in the periodic posting archive on
host rtfm.mit.edu (and on some other hosts as well).
Look in the anonymous ftp directory "/pub/usenet/news.answers",
the filename is 'neural-net-faq'.
If you do not have anonymous ftp access, you can access the archive
by mail server as well.  Send an E-mail message to
mail-server@rtfm.mit.edu with "help" and "index" in the body on
separate lines for more information.

The monthly posting is also available as a hypertext document in WWW
(World Wide Web) under the URL
http://wwwipd.ira.uka.de/~prechelt/FAQ/neural-net-faq.html

The following questions are answered in the FAQ posting:

(Please have a look at the conventions in Answer 1 at least)

============================== Questions ==============================

Part 1: Introduction
--- What is this newsgroup for?  How shall it be used?
--- What is a neural network (NN)?
--- What can you do with a Neural Network and what not?
--- Who is concerned with Neural Networks?

Part 2: Learning
--- What does 'backprop' mean?  What is 'overfitting'?
--- Why use a bias input? Why activation functions?
--- How many learning methods for NNs exist?  Which?
--- What about Genetic Algorithms and Evolutionary Computation?
--- What about Fuzzy Logic?
--- How are NNs related to statistical methods?

Part 3: Information resources
--- Good introductory literature about Neural Networks?
--- Any journals and magazines about Neural Networks?
--- The most important conferences concerned with Neural Networks?
--- Neural Network Associations?
--- Other sources of information about NNs?

Part 4: Datasets
--- Databases for experimentation with NNs?

Part 5: Free software
--- Public-Domain software packages for NN simulation?

Part 6: Commercial software
--- Commercial software packages for NN simulation?

Part 7: Hardware
--- Neural Network hardware?



========================================================================

  Warren

-- 

Warren S. Sarle       SAS Institute Inc.   The opinions expressed here
saswss@unx.sas.com    SAS Campus Drive     are mine and not necessarily
(919) 677-8000        Cary, NC 27513, USA  those of SAS Institute.
