Neural Network Architectures: An Introduction

Abstract: Introduction to the various neural network paradigms. Includes a discussion of biological analogues (the brain).

Keywords: book review, ai, robotics, psychology, programming, neural nets, neural networks, machine perception, computer architecture.

CONTENTS

Preface

Chapter 1: Introduction

Chapter 2: Early Adaptive Networks

Chapter 3: Hopfield Networks

Chapter 4: Back-Error Propagation

Chapter 5: Back Propagation Applications and Examples

Chapter 6: Competitive Learning and Lateral Inhibition

Chapter 7: The Brain and Its Neurons

Chapter 8: Biological Synapses

Chapter 9: The Kohonen Feature Map

Chapter 10: Counterpropagation

Chapter 11: Applications and Future Directions

LIBRARY OF CONGRESS DATA

Author:        Dayhoff, Judith E.
Title:         Neural network architectures : an introduction /
                  Judith E. Dayhoff.
Published:     New York, N.Y. : Van Nostrand Reinhold, c1990.
Description:   viii, 259 p. : ill. ; 25 cm.
LC Call No.:   QA76.9.A73D39 1990
Dewey No.:     006.3 20
ISBN:          0442207441
Notes:         Includes bibliographical references.
Subjects:      Computer architecture.
               Neural computers.
               Computer networks.
Control No.:   89078147 

This book is on my shelf awaiting further review.

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