Artificial neural networks / Robert J. Schalkoff.

By:

Schalkoff, Robert J

Material type: Text

TextSeries: McGraw-Hill series in computer science | . Artificial intelligencePublication details: New York : McGraw-Hill, c1997.Description: xxi, 422 p. : ill. ; 25 cmISBN:

007057118X
9780070571181

Subject(s):

Neural networks (Computer science)

DDC classification:

006.32 21 SCH

LOC classification:

QA76.87 .S3 1997

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
Gratis, Gifts	IIITDM Kurnool General Stacks	Non-fiction	006.32 SCH (Browse shelf(Opens below))	Checked out	20.01.2025	G000354

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.

Includes bibliographical references and index.

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