Re: Fuzzy vs Neural

Will Dwinnell (predictor@compuserve.com)
Mon, 20 Dec 1999 16:42:52 +0100 (MET)

Lilzeke wrote:
"I work for a major beverage company, and I just got assigned to figure
out the best way to control a vessel(mainly temp and pressure). We are
trying to figure out the best way to control the vessel with new
technology in the advanced controls arena. Can anyone recommend a
book(s) or website(s) that would get me started in the right direction
with respect to Fuzzy Logic and Neural Neworks.
In my brief research, Fuzzy Logic is a great decision maker, but a
Neural Network can tightly control a system by supervised or
unsupervised 'learning'. Then again, I could be utterly wrong."

Both fuzzy logic and neural networks can be applied many different
ways. As used in practice, fuzzy logic generally involves translating
some human-level description of the solution to fuzzy code whereas
neural networks learn to solve the problem from historical examples.

For a really good introduction to rule-based fuzzy logic, see "The Fuzzy
Systems Handbook" by Earl Cox, published by AP. An excellent
introduction to machine learning methods (including some material on
neural networks) is "Computer Systems That Learn", by Weiss and
Kulikowski, published by Morgan Kaufmann.

Will Dwinnell
predictor@compuserve.com

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