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/
