Pattern Recognition by Self-Organizing Neural Networks

Gail A. Carpenter and Stephen Grossberg

ISBN 10: 0262031760 / ISBN 13: 9780262031769

Published by Bradford Book, 1991

About this Item

[ No Hassle 30 Day Returns ][ Ships Daily ] [ Underlining/Highlighting: NONE ] [ Writing: NONE ] [ Edition: First ] Publisher: MIT Press Pub Date: 10/14/1991 Binding: Hardcover Pages: 710 First edition. Seller Inventory # 6783016

Bibliographic Details

Title: Pattern Recognition by Self-Organizing ...

Publisher: Bradford Book

Publication Date: 1991

Binding: Hardcover

Condition: Good

About this title

Synopsis:

Pattern Recognition by Self-Organizing Neural Networks presents the most recent advances in an area of research that is becoming vitally important in the fields of cognitive science, neuroscience, artificial intelligence, and neural networks in general. The 19 articles take up developments in competitive learning and computational maps, adaptive resonance theory, and specialized architectures and biological connections.

Introductory survey articles provide a framework for understanding the many models involved in various approaches to studying neural networks. These are followed in Part 2 by articles that form the foundation for models of competitive learning and computational mapping, and recent articles by Kohonen, applying them to problems in speech recognition, and by Hecht-Nielsen, applying them to problems in designing adaptive lookup tables. Articles in Part 3 focus on adaptive resonance theory (ART) networks, selforganizing pattern recognition systems whose top-down template feedback signals guarantee their stable learning in response to arbitrary sequences of input patterns. In Part 4, articles describe embedding ART modules into larger architectures and provide experimental evidence from neurophysiology, event-related potentials, and psychology that support the prediction that ART mechanisms exist in the brain.

Contributors: J.-P. Banquet, G.A. Carpenter, S. Grossberg, R. Hecht-Nielsen, T. Kohonen, B. Kosko, T.W. Ryan, N.A. Schmajuk, W. Singer, D. Stork, C. von der Malsburg, C.L. Winter.

About the Author:

Gail A. Carpenter is Professor of Mathematics and Cognitive and Neural Systems and Director of the CNS Technology Lab at Boston University.