Adaptive fuzzy C code example needed

Bryan Reinhardt (reinhard@mindspring.com)
Thu, 6 Apr 1995 23:01:04 -0400


Im trying to come up with a method to derive fuzzy sets in real time, either
in a supervised or unsupervised setting. So far, I have found the Adaptive
Vector Quantizer (AVQ) NN approach to derive clusters etc in both Kosko's NN
book, as well as his monograph in Fuzzy sets, NN and soft computing. I think
this may meet my needs (?) and seems more straight forward (?)

The only problemo is both these examples of the AVQ are a math-out, and, I
being out of practice (a nice way of saying im math illiterate) cannot
decipher to laymans terms the algorithm supplied. A coding example would
help me out a great deal.

The algorithm also ends with a choice of using Unsupervised Competitive
Learning, Supervised Competitive Learning or Differencial Competitve Learning.

Can anyone explain this algorithm more simplistically? Does anyone out there
have or can point me to an example in C or C++?

Can anyone out there point out any other methods and examples that maybe
salient in determining fuzzy sets? Either as a NN or even genetically?

tallee hooooo

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