Neural Networks: An Introduction (Physics of Neural Networks) [9783540602071]

Overview

Neural Networks presents concepts of neural-network models and techniques of parallel distributed processing in a three-step approach: - A brief overview of the neural structure of the brain and the history of neural-network modeling introduces to associative memory, preceptrons, feature-sensitive networks, learning strategies, and practical applications. - The second part covers subjects like statistical physics of spin glasses, the mean-field theory of the Hopfield model, and the "space of interactions" approach to the storage capacity of neural networks. - The final part discusses nine programs with practical demonstrations of neural-network models. The software and source code in C are on a 3 1/2" MS-DOS diskette can be run with Microsoft, Borland, Turbo-C, or compatible compilers.

The book, Neural Networks: An Introduction (Physics of Neural Networks) [Bulk, Wholesale, Quantity] ISBN#9783540602071 in Paperback by Berndt Müller, Joachim Reinhardt, Michael T. Strickland may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.