A feedforward neural network with resilient backpropagation (Rprop), with no external dependencies
This implementation trains significantly faster than ai4r's backpropagation neural network, mainly because the Rprop training algorithm implemented here is much faster than the non-batch backpropagation algorithm used in ai4r.
However, this implementation is slower than ruby-fann, which wraps the FANN library, written in C. If you're looking for something production-ready, check out ruby-fann.