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Proceedings Paper

Adaptive (Neural Network) Control In Computer-Integrated-Manufacturing
Author(s): S. Chen; M. Zhang
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Paper Abstract

In a highly distributed CIM (Computer-Integrate-Manufacturing) environment, adaptive control using neural network processors is proposed. First, neural network concepts are employed to represent and to model knowledge in robotics and automation application domains. Then, the model captured by a neural network emulator serves as the distributed and adaptive controller of a CIM environment.

Paper Details

Date Published: 29 March 1988
PDF: 4 pages
Proc. SPIE 0937, Applications of Artificial Intelligence VI, (29 March 1988); doi: 10.1117/12.947008
Show Author Affiliations
S. Chen, University of North Carolina (United States)
M. Zhang, University of North Carolina (United States)

Published in SPIE Proceedings Vol. 0937:
Applications of Artificial Intelligence VI
Mohan M. Trivedi, Editor(s)

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