Neural Networks: Algorithms, Applications, and Programming Techniques

Abstract: A practical introduction to neural networks, the basic technology, and applications to problems in science and engineering.

Keywords: book review, robotics, ai, programming, neural networks, artificial intelligence, simulated annealing, neocognition, computer science, algorithms.

Title: Neural Networks: Algorithms, Applications, and Programming Techniques Author: James A. Freeman, David M. Skapura Publisher: Addison-Wesley Date Published: March 1991 ISBN: 0201513765 LOCN: QA76.87.F74 1991 Dewey: 006.3 20 Pages: 401 Bibliography: 123 entries Figures: 156

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CONTENTS

Chapter 1: Introduction to ANS Technology

Chapter 2: Adaline and Madaline

Chapter 3: Backpropagation

Chapter 4: The BAM and the Hopfield Memory

Chapter 5: Simulated Annealing

Chapter 6: The Counterpropagation Network

Chapter 7: Self-Organizing Maps

Chapter 8: Adaptive Resonance Theory

Chapter 9: Spatiotemporal Pattern Classification

Chapter 10: Neocognition

LIBRARY OF CONGRESS DATA

Author:        Freeman, James A.
Title:         Neural networks : algorithms, applications, and
                  programming techniques / James A. Freeman, David M. Skapura.
Published:     Reading, Mass. : Addison-Wesley, c1991.
Description:   xiii, 401 p. : ill. ; 24 cm.
Series:        Computation and neural systems series
LC Call No.:   QA76.87.F74 1991
Dewey No.:     006.3 20
ISBN:          0201513765
Notes:         Includes bibliographical references and index.
Subjects:      Neural networks (Computer science)
               Computer algorithms.
Other authors: Skapura, David M.
Control No.:   90023758 //r91

This book is on my shelf awaiting further review.

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