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

By: Contributor(s): Material type: TextTextPublication details: Boston : PWS Pub., c1996.Edition: 1st edDescription: 1 v. (various pagings) : ill. ; 24 cm. + 1 computer disk (3 1/2 in.)ISBN:
  • 9812403760
Subject(s): DDC classification:
  • 006.3   21
Contents:
Preface -- Introduction -- Neuron Model and Network Architectures -- 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 -- Epilogue.
Summary: This guide to neural networks includes worked problems in each chapter, and supporting software demonstrations. The authors of this work also developed the neural networks toolbox (for MathWorks) and the fuzzy systems toolbox.
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Item type Current library Call number Copy number Status Date due Barcode
Books Books Main library General Stacks 006.3 / HA.N 1996 (Browse shelf(Opens below)) 1 Available 004199

Includes bibliographical references and index.

Preface -- Introduction -- Neuron Model and Network Architectures -- 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 -- Epilogue.

This guide to neural networks includes worked problems in each chapter, and supporting software demonstrations. The authors of this work also developed the neural networks toolbox (for MathWorks) and the fuzzy systems toolbox.

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