Neural Network Design / Edition 1

Neural Network Design / Edition 1

by Howard B. Demuth
     
 

ISBN-10: 0534943322

ISBN-13: 9780534943325

Pub. Date: 02/28/1996

Publisher: Brooks/Cole

This book provides a clear and detailed survey of basic neural network architectures and learning rules. In it, the autlors 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.  See more details below

Overview

This book provides a clear and detailed survey of basic neural network architectures and learning rules. In it, the autlors 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.

Product Details

ISBN-13:
9780534943325
Publisher:
Brooks/Cole
Publication date:
02/28/1996
Series:
Electrical Engineering Series
Edition description:
1st ed
Pages:
736
Product dimensions:
8.23(w) x 9.60(h) x 1.29(d)

Related Subjects

Table of Contents

Preface
Introduction
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
Epilogue
Appendices
Bibliography
Notation
Software
Index

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