Dear all, The first version of AI-NNFlex is available from CPAN. It's designed to be a very flexible way of creating neural nets. The basic API creates a mesh of nodes with properties (activation, error, activation function, connected nodes etc). Activation flow is controlled by a plugin - at the moment there is only a feedforward plugin. Learning is handled by another plugin - at the moment there is a backprop plugin, and a simple 'reinforcement' plugin that just strengthens active links.
Its not especially quick - I sacrified speed for flexibility. If you're interested please download and play. There are implementations of xor & and in the examples directory. Contact details for bug reports & feature requests are in the readme & I check this mailing list about 1ce a week. http://search.cpan.org/~ccolbourn/ai-nnflex-0.1/ regards, Charles Colbourn
