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.
Author: Berndt Müller, Joachim Reinhardt, Michael T. Strickland
Publisher: Springer
Published: 10/02/1995
Pages: 331
Binding Type: Paperback
Weight: 1.29lbs
Size: 9.20h x 6.08w x 0.84d
ISBN13: 9783540602071
ISBN10: 3540602070
BISAC Categories:
- Computers | Data Science | Neural Networks
- Computers | Artificial Intelligence | General
Author: Berndt Müller, Joachim Reinhardt, Michael T. Strickland
Publisher: Springer
Published: 10/02/1995
Pages: 331
Binding Type: Paperback
Weight: 1.29lbs
Size: 9.20h x 6.08w x 0.84d
ISBN13: 9783540602071
ISBN10: 3540602070
BISAC Categories:
- Computers | Data Science | Neural Networks
- Computers | Artificial Intelligence | General
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