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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.
| Autorius: | Berndt Müller, Michael T. Strickland, Joachim Reinhardt, |
| Serija: | Physics of Neural Networks |
| Leidėjas: | Springer Berlin Heidelberg |
| Išleidimo metai: | 1995 |
| Knygos puslapių skaičius: | 348 |
| ISBN-10: | 3540602070 |
| ISBN-13: | 9783540602071 |
| Formatas: | 235 x 155 x 19 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Neural Networks: An Introduction“
