
Pattern Recognition by Self-Organizing Neural Networks
Bradford Books (Publisher)
Published on 18. April 1991
Book
Paperback/Softback
710 pages
978-0-262-52623-4 (ISBN)
Description
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.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
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
More details
Series
Language
English
Place of publication
Massachusetts
United States
Publishing group
MIT Press Ltd
Target group
Professional and scholarly
US School Grade: From College Freshman to College Graduate Student
Product notice
Paperback (trade)
Dimensions
Height: 260 mm
Width: 184 mm
Thickness: 44 mm
Weight
1520 gr
ISBN-13
978-0-262-52623-4 (9780262526234)
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Schweitzer Classification
Other editions
Additional editions

Gail A. Carpenter | Stephen Grossberg
Pattern Recognition by Self-Organising Neural Networks
Book
04/1991
MIT Press
€93.00
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