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
Product Identifiers
Publisher
MIT Press Ltd
ISBN-13
9780262526234
eBay Product ID (ePID)
212289638
Product Key Features
Subject Area
Biological Psychology
Author
Gail A. Carpenter, Stephen Grossberg
Publication Name
Pattern Recognition by Self-Organizing Neural Networks
Format
Paperback
Language
English
Publication Year
1991
Type
Textbook
Number of Pages
710 Pages
Dimensions
Item Height
260mm
Item Width
184mm
Item Weight
1520g
Additional Product Features
Series Title
MIT Press
Country/Region of Manufacture
United States
Editor
Gail A. Carpenter, Stephen Grossberg
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