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PRINTED BOOKS
Author Hagan, Martin T.

Title Neural network design / Martin T. Hagan, Howard B. Demuth, Mark Hudson Beale.

Published Boulder. Col. : distributed by Campus Publishing Service, University of Colorado Bookstore, [1995?]

Copies

Location Call No. Status
 UniM ERC  006.3 HAGA    AVAILABLE
Physical description 1 volume (various pagings) : illustrations ; 28 cm
Notes "MATLAB is not essential for using this book. ... The demonstrations require MATLAB version 5.0 or later, or the student edition of MATLAB version 5.0" -- p. P.4.
Bibliography Includes bibliographical references and index.
Contents Neuron Model and Network Architectures -- An Illustrative Example -- Perceptron Learning Rule --Signal and Weight Vector Spaces -- Linear Transformations for Neural Networks -- Supervised Hebbian Learning -- Performance Surfaces and Optimum Points -- Performance Optimization -- Widrow-Hoff Learning -- Backpropagation -- Variations on Backpropagation -- Associative Learning -- Competitive Networks -- Grossberg Network -- Adaptive Resonance Theory -- Stability -- Hopfield Network.
Summary This book provides a clear and detailed survey of basic neural network architectures and learning rules. In it, the authors emphasize mathematical analysis of networks, methods for training networks, and application of networks to practical engineering problems in pattern recognition, signal processing, and control systems.
Other author Demuth, Howard B.
Beale, Mark H.
Subject Neural networks (Computer science)
ISBN 0971732108