Hi all, For those interested in neural nets, there's a new version of AI::NeuralNet::Simple out (http://search.cpan.org/dist/AI-NeuralNet-Simple/). This version incorporates a good-sized patch from Raphael Manfredi, the author of Storable.
New features: Added tanh activation function. train_set() now accepts a maximum error rate target. Multiple network support. Persistence via storable. AI::NeuralNet::Simple is an easy to use "feed forward, back propogation neural network." Since the core of the module is written in C, it's very fast. The only significant (known) limitation of the module at this point is that the number of layers (3) is fixed. However, this is a very common number of layers for this type of network, so it's not too bad. The docs make loud warnings about the code being alpha and it claims to be a "simple learning module" but I think it's solid enough at this point that it might actually be useful. Cheers, Ovid -- If this message is a response to a question on a mailing list, please send follow up questions to the list. Web Programming with Perl -- http://users.easystreet.com/ovid/cgi_course/
