Neural Networks: A Comprehensive Foundation,Second EditionAuthorsSimon HaykinMcMaster UniversityHamilton,Ontario,CanadaHardcover: 842 pages Publisher: Prentice Hall; 2 edition (July 16, 1998) Language: English ISBN-10: 0132733501 ISBN-13: 978-0132733502 Editorial ReviewsProduct DescriptionProvides a comprehensive foundation of neural networks, recognizing the multidisciplinary nature of the subject, supported with examples, computer-oriented experiments, end of chapter problems, and a bibliography. DLC: Neural networks (Computer science). From the PublisherThis text represents the first comprehensive treatment 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. Neural Networks provides broad coverage of the subject, including the learning process, back propogation, radial basis functions, recurrent networks, self-organizing systems, modular networks, temporal processing, neurodynamics, and VLSI implementations. Chapter objectives, computer experiments, problems, worked examples, a bibliography, photographs, illustrations, and a thorough glossary reinforce key concepts. The author's concise and fluid writing style makes the material more accessible. --This text refers to an out of print or unavailable edition of this title.

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