This course introduces a field in soft computing, which is based on using non-deterministic algorithms, called artificial neural networks. Topics include: the perceptron, multilayer perceptron, radial-basis function networks, recurrent networks such as hopfield networks, back propagation, associative memory and fuzzy neural networks.
Prerequisite: COMP 305