Introduction To The Theory Of Neural Computation: INTRO TO THE THEORY OF NEURAL

Paperback | June 24, 1991

byJohn A. Hertz, Anders S. Krogh, Richard G. Palmer

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Comprehensive introduction to the neural network models currently under intensive study for computational applications. It also provides coverage of neural network applications in a variety of problems of both theoretical and practical interest.

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From Our Editors

This book is a comprehensive introduction to the neural network models currently under intensive study for computational applications. It is a detailed, logically-developed treatment that covers the theory and uses of collective computational networks, including associative memory, feed forward networks, and unsupervised learning. It a...

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Comprehensive introduction to the neural network models currently under intensive study for computational applications. It also provides coverage of neural network applications in a variety of problems of both theoretical and practical interest.

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This book is a comprehensive introduction to the neural network models currently under intensive study for computational applications. It is a detailed, logically-developed treatment that covers the theory and uses of collective computational networks, including associative memory, feed forward networks, and unsupervised learning. It a...

Format:PaperbackDimensions:350 pages, 9 × 6 × 0.79 inPublished:June 24, 1991Publisher:Westview Press

The following ISBNs are associated with this title:

ISBN - 10:0201515601

ISBN - 13:9780201515602

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From Our Editors

This book is a comprehensive introduction to the neural network models currently under intensive study for computational applications. It is a detailed, logically-developed treatment that covers the theory and uses of collective computational networks, including associative memory, feed forward networks, and unsupervised learning. It also provides coverage of neural network applications in a variety of problems of both theoretical and practical interest.