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This book represents the most comprehensive treatment available of neural networks from an engineering perspective. Thorough, well-organized, and completely up to date, it examines all the important aspects of this emerging technology, including the learning process, back-propagation learning, radial-basis function networks, self-organizing systems, modular networks, temporal processing and neurodynamics, and VLSI implementation of neural networks.
Written in a concise and fluid manner, by a foremost engineering textbook author, to make the material more accessible, this book is ideal for professional engineers and graduate students entering this exciting field. Computer experiments, problems, worked examples, a bibliography, photographs, and illustrations reinforce key concepts.
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Previews available in: English
Showing 2 featured editions. View all 2 editions?
Edition | Availability |
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1
Neural networks: a comprehensive foundation
1999, Prentice Hall
in English
- 2nd ed.
0132733501 9780132733502
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2
Neural networks: a comprehensive foundation
1994, Macmillan, Maxwell Macmillan Canada, Maxwell Macmillan International
in English
0023527617 9780023527616
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Edition Notes
Includes bibliographical references (p. 796-836) and index.
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- Created April 1, 2008
- 16 revisions
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July 13, 2024 | Edited by MARC Bot | import existing book |
December 19, 2023 | Edited by ImportBot | import existing book |
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April 1, 2008 | Created by an anonymous user | Imported from Scriblio MARC record |