Artificial neural networks

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.

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Bibliographic Details
Main Author: Schalkoff, Robert J.
Format: Book
Language:English
Published: New York, NY McGraw-Hill 1997
Series:McGraw-Hill series in computer science. / Artificial intelligence
McGraw-Hill series in electrical and computer engineering
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100 1 |a Schalkoff, Robert J. 
245 1 0 |a Artificial neural networks  |c Robert J. Schalkoff 
260 |a New York, NY  |b McGraw-Hill  |c 1997 
300 |a xxi, 422 p.  |b ill.  |c v25 cm. 
490 0 |a McGraw-Hill series in computer science. / Artificial intelligence 
490 0 |a McGraw-Hill series in electrical and computer engineering 
504 |a Includes bibliographical references and index 
505 |a 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 
520 |a 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. 
650 0 |a Neural networks (Computer science) 
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