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Artificial neural networks /

By: Material type: TextTextPublication details: New York : McGraw-Hill, c1997.Description: xxi, 422 p. : illISBN:
  • 9780071155540
  • 0071155546
Subject(s): DDC classification:
  • 006.3 SCH
Online resources:
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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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Lending Books Lending Books Main Library Stacks Reference 006.3 SCH (Browse shelf(Opens below)) Available 006532
Total holds: 0

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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