Neural Networks

“Neural Networks” provides 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 an overall knowledge of current developments in the field.

Author Biography

PHIL PICTON is a Reader in Engineering Control Systems at Nene College in Northampton. Prior to this he was a lecturer at the Open University where he contributed to distance learning courses on control engineering, electronics, mechatronics and artificial intelligence. His research interests include patten recognition, intelligent control and logic design.