AI::NeuralNet::BackProp is a simply back-propagation, feed-foward neural network designed to learn using a generalization of the Delta rule and a bit of Hopefield theory. Still in beta stages. Be sure to checkout the ./examples/ directory for 5 different example scripts using the AI::NeuralNet::BackProp network. Use it, let me know what you all think. This is just a groud-up write of a neural network, no code stolen or anything else. It uses the -IDEA- of back-propagation for error correction, with the -IDEA- of the delta rule and hopefield theory, as I understand them. So, don't expect a classicist view of nerual networking here. I simply wrote from operating theory, not math theory. Any die-hard neural networking gurus out there? Let me know how far off I am with this code! :-) Thankyou all for your help. ~ Josiah jdb@wcoil.com http://www.josiah.countystart.com/modules/AI/cgi-bin/rec.pl - dowload latest dist