Neural Networksprovides a gentle introduction to the subject, for undergraduates from Computer Science and Electrical Engineering degrees. This updated and revised second edition assumes no prior knowledge and sets out to describe what neural nets are, what they do, and how they do it. The main networks covered include ADALINE, WISARD, the Hopfield Network, Bidirectional Associative Memory, the Boltzmann machine, counter-propogation and ART networks, and Kohonen's self-organizing maps. These networks are discussed by means of examples, giving the reader a good overall knowledge of current developments in the field. | Neural Networks by Phil Picton, Paperback | Indigo Chapters