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Schalkoff, Robert J.

Artificial neural networks / Robert J. Schalkoff. - New York : McGraw-Hill, c1997. - xxi, 422 p. : ill. ; 25 cm. - McGraw-Hill series in computer science. Artificial intelligence .

Includes bibliographical references and index.

Overview: artificial neural networks and neural computing --
Mathematical fundamentals for ANN study --
Elementary ANN building blocks --
Single-unit mappings and the perceptron --
Introduction to neural mappings and pattern associator applications --
Feedforward networks and training: part 1 --
Feedforward networks, part 2: extensions and advanced topics --
Recurrent networks --
Competitive and self-organizing networks --
Radial Basis Function (RBF) networks and Time Delay Neural Networks (TDNNs) --
Fuzzy neural networks including fuzzy sets and logic and ANN implementations --
ANN hardware and implementation concerns.

Artificial Neural Networks brings together an identifiable core of ideas, techniques, and applications that characterize this emerging field. The text is intended for beginning graduate / advanced undergraduate students as well as practicing engineers and scientists.

ISBN: 007057118X 9780070571181

LCCN: 96049477

Subjects--Topical Terms:
Neural networks (Computer science)

LC Class. No.: QA76.87 / .S3 1997

Dewey Class. No.: 006.32 / SCH