R: Fuzzy vs Neural

piero manneschi (pierom@lina.it)
Fri, 31 Dec 1999 19:16:43 +0100 (MET)

Lynn B. Hales <lhales@earthlink.net> wrote in message
386ABDCE.69595C4B@earthlink.net...
> Will, we do real-time process control for a living. Check out our
> www.kscape.com.
> Our product is called KnowledgeScape and it is a real-time expert control
> system that has both crisp and fuzzy rules, neural networks and genetic
> algorithms all integrated together into a great system. Lynn Hales
>
> Will Dwinnell wrote:
>
> > 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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