Neural Networks: An Introduction
- ISBN-10
- 3642577601
- ISBN-13
- 9783642577604
- Series
- Neural Networks
- Category
- Computers
- Pages
- 331
- Language
- English
- Published
- 2012-12-06
- Publisher
- Springer Science & Business Media
- Authors
- Berndt Müller, Joachim Reinhardt, Michael T. Strickland
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.
Get the book
Other editions
-
- 2013-06-29
- 511 pages
- Ebook
- Springer Science & Business Media
-
- 2018-06-23
- 37 pages
- Paperback
- Independently Published
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