On Fri, 12 Sep 2003, Ala Qumsieh wrote:

>  On Fri, 12 Sep 2003, Mark Kvale wrote:
>  
>  > a) AI::NeuralNet::Mesh - trains up multi-layer perceptrons, a type of
>  > feedforward neural net. It has good documentation. For your problem, I
>  > would reccommend a 3 layer net, with one input, one hidden and one
>  > output layer, with tanh activation fuctions.
>  
>  Where can I find AI::NeuralNet::Mesh? It doesn't show up in my CPAN
>  mirror.
>  
I'm not sure. Here is what my cpan says:

Distribution    J/JB/JBRYAN/AI-NeuralNet-Mesh-0.44.zip
Module          AI::NeuralNet::Mesh 
(J/JB/JBRYAN/AI-NeuralNet-Mesh-0.44.zip)

>  I'm also tempted to suggest AI::FuzzyInference as a way to predict the
>  sales. The fuzzy rules need to be defined somehow, and one way to do it is
>  through a neural net as described by Mark. Those rules are then used by
>  the inference engine to get a final sales figure.
>  
I've never been a fan of fuzzy inference because it is a crippled
version of ordinary probability laws, which are not much more
complicated than fuzzy inference rules. But some people have used
fuzzy AI to good effect.

Mark Kvale, neurobiophysicist
http://www.keck.ucsf.edu/~kvale/