Backpropagation: Theory, Architectures, and Applications (Developments in Connectionist Theory Series) - Softcover
Synopsis
Composed of three sections, this book presents the training algorithm for neural networks: backpropagation. The first presents the theory and principles; the second a number of network architectures; and the third shows how these can be applied to a number of different fields.
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About the Author
Yves Chauvin, David E. Rumelhart
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Backpropagation: Theory, Architectures, and Applications
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Backpropagation: Theory, Architectures, and Applications
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Backpropagation: Theory, Architectures, and Applications
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Lawrence Erlbaum Associates, Publishers, 1995
ISBN 10: 0805812598
ISBN 13: 9780805812596
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Soft cover. Condition: New. No Jacket. 1st Edition. First edition 1995, first printing, numbers line starts with 1. Published by Lawrence Erlbaum Associates, Publishers. Trade softcover with DJ. Condition new, square and tight book, no edgewear, no shelfwear, corners not bumped, spine not creased, name on half-title, no underlinings , no highlights, no bent page corners, not a reminder. Thick 8vo, 574 pages. Seller Inventory # 024309
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Backpropagation : Theory, Architectures, and Applications
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Backpropagation : Theory, Architectures, and Applications
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Backpropagation: Theory, Architectures, and Applications
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Backpropagation
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Psychology Press Feb 1995, 1995
ISBN 10: 0805812598
ISBN 13: 9780805812596
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Composed of three sections, this book presents the most popular training algorithm for neural networks: backpropagation. The first section presents the theory and principles behind backpropagation as seen from different perspectives such as statistics, machine learning, and dynamical systems. The second presents a number of network architectures that may be designed to match the general concepts of Parallel Distributed Processing with backpropagation learning. Finally, the third section shows how these principles can be applied to a number of different fields related to the cognitive sciences, including control, speech recognition, robotics, image processing, and cognitive psychology. The volume is designed to provide both a solid theoretical foundation and a set of examples that show the versatility of the concepts. Useful to experts in the field, it should also be most helpful to students seeking to understand the basic principles of connectionist learning and to engineers wanting to add neural networks in general -- and backpropagation in particular -- to their set of problem-solving methods. 574 pp. Englisch. Seller Inventory # 9780805812596