Martin R. Green wrote:

> Please, correct me if I'm wrong (OK, so you would have anyway), but I keep
> seeing references to FL 'learning' better responses to input.  I thought FL
> was just a way to deal with ambiguous (not yes or no) inputs, and that
> learning was the domain of neural software.  I can see how the neural
> weighting is a form of FL, but not the other way around.  Am I completely
> out in left field?

No, basic FL is a logic system and has no memory. There are several methods of
rendering a system based on FL adaptive, including some that use standard neural
net techniques.

--Tom Rogers