Neural networks
Subtitle: a comprehensive foundation
By: Simon Haykin.
Publisher: Macmillan; Maxwell Macmillan Canada; Maxwell Macmillan International
Published: 1994
Place of publication: New York; Toronto; New York
Language: eng
Number of pages: 696
Subjects: Neural networks (Computer science)
Description: 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.
Notes: Includes bibliographical references (p. 635-690) and index.