Computing with structured neural networks

The authors are concerned with how one can design, realize, and analyze networks that embody the specific computational structures needed to solve hard problems. They focus on the design and use of massively parallel connectionist computational models, particularly in artificial intelligence. They d...

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Bibliographic Details
Published in:Computer (Long Beach, Calif.) Calif.), 1988-03, Vol.21 (3), p.91-103
Main Authors: Feldman, J.A., Fanty, M.A., Goodard, N.H.
Format: Article
Language:English
Subjects:
Animal structures
Artificial intelligence
Biological neural networks
Biology computing
Computational modeling
Computer networks
Computer vision
Concurrent computing
Humans
Neural networks
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Summary:The authors are concerned with how one can design, realize, and analyze networks that embody the specific computational structures needed to solve hard problems. They focus on the design and use of massively parallel connectionist computational models, particularly in artificial intelligence. They describe a computing environment for working with structured networks and present some sample applications. Throughout, they treat adaptation and learning as ways to improve structured networks, not as replacements for analysis and design.< >
ISSN:0018-9162
1558-0814
DOI:10.1109/2.34