Paper
13 February 1986 Associative Learning, Adaptive Pattern Recognition, And Cooperative-Competitive Decision Making By Neural Networks
Gail A. Carpenter, Stephen Grossberg
Author Affiliations +
Proceedings Volume 0634, Optical and Hybrid Computing; (1986) https://doi.org/10.1117/12.964016
Event: Optical and Hybrid Computing, 1986, Leesburg, United States
Abstract
This article describes models of associative pattern learning, adaptive pattern recognition, and parallel decision-making by neural networks. It is shown that a small set of real-time non-linear neural equations within a larger set of specialized neural circuits can be used to study a wide variety of such problems. Models of energy minimization, cooperative-competitive decision making, competitive learning, adaptive resonance, interactive activation, and back propagation are discussed and compared.
© (1986) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gail A. Carpenter and Stephen Grossberg "Associative Learning, Adaptive Pattern Recognition, And Cooperative-Competitive Decision Making By Neural Networks", Proc. SPIE 0634, Optical and Hybrid Computing, (13 February 1986); https://doi.org/10.1117/12.964016
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Cited by 25 scholarly publications and 1 patent.
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