I found the book by Christopher Bishop on Neural Networks for Pattern
Recognition excellent, but requires slow reading - if you havn't got a
mathematics degree. Its a good 'manual' once you have decided you want to
invest a lot of energy in learning the complete picture of applied neural
networks.
Not so good for an introductory overview -
'Machine Learning' by Mitchell has a good chapter on Neural Networks.
Hope that helps
Hugh Mallinson
Phd student
UCL
-----Original Message-----
From: [EMAIL PROTECTED] [SMTP:[EMAIL PROTECTED]]
Sent: 07 June 2000 23:44
Subject:
Hi all,
I'm starting a seminar at my company to acquaint beginning scientists with
various AI techniques. Can anyone recommend good introductory material on
any the following topics?
Neural networks
Belief nets (the Pearl book is good but more advanced than we have in mind
for this setting)
Expert systems
Agents
Fuzzy logic
Ideally, we'd like to find a 100 to 200 page book on each of these topics,
roughly analagous to Melanie Mitchell's book An Introduction to Genetic
Algorithms, covering both basic theory and an overview of what type of
problem a technique is most suited to. However, it seems that truly
introductory material on some of these topics is hard to find. Any help
will
be greatly appreciated.
Regards,
Rachel Cunningham
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Rachel Cunningham (617) 491-3474 x519
Scientist [EMAIL PROTECTED]
Charles River Analytics http://www.cra.com
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