Neural Network Learning and Expert Systems - Softcover

Gallant, Stephen I. I

Softcover

ISBN 10: 0262527898 ISBN 13: 9780262527897

Publisher: MIT Press, 1993

Synopsis

Neural Network Learning and Expert Systems is the first book to present a unified and in-depth development of neural network learning algorithms and neural network expert systems. Especially suitable for students and researchers in computer science, engineering, and psychology, this text and reference provides a systematic development of neural network learning algorithms from a computational perspective, coupled with an extensive exploration of neural network expert systems which shows how the power of neural network learning can be harnessed to generate expert systems automatically.

Features include a comprehensive treatment of the standard learning algorithms (with many proofs), along with much original research on algorithms and expert systems. Additional chapters explore constructive algorithms, introduce computational learning theory, and focus on expert system applications to noisy and redundant problems.

For students there is a large collection of exercises, as well as a series of programming projects that lead to an extensive neural network software package. All of the neural network models examined can be implemented using standard programming languages on a microcomputer.

About this title

About the Author:

Stephen l. Gallant taught courses in neural network learning and expert systems as Associate Professor of Computer Science at Northeastern University. He is currently a Senior Scientist at HNC, Inc.

Review:

A gold mine for researchers working on learning algorithms and computer professionals who want to use them.

(Mario Marchand, Physics Department, University of Ottawa)

About this edition

• Publisher: MIT Press
• Publication date: 1993
• ISBN 10: 0262527898
• ISBN 13: 9780262527897
• Binding: Paperback
• Number of pages: 381