Neural networks : a comprehensive foundation /

"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,...

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Bibliographic Details
Main Author: Haykin, Simon S., 1931-
Format: Book
Language:English
Published: New York : Toronto : New York : Macmillan ; Maxwell Macmillan Canada ; Maxwell Macmillan International, c1994.
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Summary:"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."--Jacket.
Physical Description:xix, 696 p. : ill. ; 26 cm.
Bibliography:Includes bibliographical references (p. 635-690) and index.
ISBN:0023527617