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Proceedings Paper

The Elements Of Adaptive Neural Expert Systems
Author(s): Michael J. Healy
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Paper Abstract

The generalization properties of a class of neural architectures can be modelled mathematically. The model is a parallel predicate calculus based on pattern recognition and self-organization of long-term memory in a neural network. It may provide the basis for adaptive expert systems capable of inductive learning and rapid processing in a highly complex and changing environment.

Paper Details

Date Published: 21 March 1989
PDF: 8 pages
Proc. SPIE 1095, Applications of Artificial Intelligence VII, (21 March 1989); doi: 10.1117/12.969332
Show Author Affiliations
Michael J. Healy, The Boeing Company (United States)

Published in SPIE Proceedings Vol. 1095:
Applications of Artificial Intelligence VII
Mohan M. Trivedi, Editor(s)

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