Artificial neural networks /

By: Schalkoff, Robert JMaterial type: TextTextPublication details: New York : McGraw-Hill, c1997Description: xxi, 422 p. : illISBN: 9780071155540 ; 0071155546Subject(s): Neural networks (Computer science)DDC classification: 006.3 Online resources: Click here to access online | Click here to access online
Contents:
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
Summary: 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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Reference 006.3 SCH (Browse shelf(Opens below)) Checked out 09/05/2024 006532
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Includes 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.

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