| Neural Networks: An Introduction Updated Edition Contributor(s): Müller, Berndt (Author), Reinhardt, Joachim (Author), Strickland, Michael T. (Author) |
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ISBN: 3540602070 ISBN-13: 9783540602071 Publisher: Springer OUR PRICE: $52.24 Product Type: Paperback Published: October 1995 Annotation: The second edition of this widely-acclaimed book presents a concise overview of the concepts of neural-network models and the techniques of parallel distributed processing. The authors have broken down neural networks to a comprehensive three-part treatment with a multi-disciplinary approach. |
| Additional Information |
| BISAC Categories: - Computers | Neural Networks - Computers | Intelligence (ai) & Semantics |
| Dewey: 006.3 |
| LCCN: 95024948 |
| Series: Physics of Neural Networks |
| Physical Information: 0.84" H x 6.08" W x 9.2" (1.29 lbs) 331 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |