**Subject: **Re: Much high interest factorness.

*predictr@bellatlantic.net*

**Date: **Sun Oct 08 2000 - 19:43:38 MET DST

**sorted by:**[ date ] [ thread ] [ subject ] [ author ]**Next message:**predictr@bellatlantic.net: "Re: What to read?"**Previous message:**matnoor aha: "Source code for Fuzzy Logic Control of Water heater"

Chris Saunders wrote:

"I have come across this "fuzzy logic" stuff not so long ago, and although it is

linked to Artificial Intelligence and involves something called Artificial

Nueral Networks, I don't know much about it.

Can someone please point me towards documentation (or even take the time to

briefly write a reply) that briefly explains the definition of fuzzy logic?"

While there are areas of overlap, fuzzy logic and artificial neural networks are

two different things. For a good, free introduction to each of them, see the

FAQs for comp.ai.fuzzy and comp.ai.neural-nets.

"My understanding of it so far is that fuzzy logic is where a small series of

artificial nuerons calculate the "weight" of data they recieve (which I assume

is binary, yes or no, input?). Based on this, they pass on a figure (or

"weight") to the next nueron, and so on. What I want to know, is what are these

"weights", and how does it "learn" a pattern? (ie: what changes in an

artificial nueral net to allow different processing in the future?)"

What you have written above is a coarse description of an artificial neural

network. To learn more about them, try the above mentioned FAQ or any of the

following books (in no particular order):

"Neural Networks for Statistical Modeling" by Murray Smith

"Introduction to Neural Networks" by Jeanette Lawrence

"Naturally Intelligent Systems" by Caudill and Butler

Will Dwinnell

predictr@bellatlantic.net

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