Artificial neural networks / Robert J. Schalkoff.
By: Schalkoff, Robert J.
Material type: BookSeries: McGraw-Hill series in computer scienceArtificial intelligence.Publisher: New York : McGraw-Hill, c1997Description: xxi, 422 p. : ill. ; 25 cm.ISBN: 007057118X.Subject(s): Neural networks (Computer science)DDC classification: 006.3Item type | Current library | Call number | Copy number | Status | Date due | Barcode | Item holds |
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General Lending | MTU Bishopstown Library Lending | 006.3 (Browse shelf(Opens below)) | 1 | Available | 00070616 |
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.