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Proceedings Paper

Controller implemented by recording the fuzzy rules by backpropagation neural networks
Author(s): Xingren Ying; Nan Zeng
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Paper Abstract

A more natural way using the experiences than the fuzzy reasoning is provided in this paper. An abstract ''concept" is expressed by a set of neurons with different exciting degrees. So the abstract experience rules are transformed to the input-output samples of multi-layer neural network and these samples are recorded in network by Back-Propagation algorithm. The controller utilizes these experiences according to associative memory. The design simulation result feature and further of this controller are discussed in this paper. KEYWORDS: Neural Network Intelligent Control Back-propagation Fuzzy Control 1.

Paper Details

Date Published: 1 August 1991
PDF: 6 pages
Proc. SPIE 1469, Applications of Artificial Neural Networks II, (1 August 1991); doi: 10.1117/12.45016
Show Author Affiliations
Xingren Ying, Institute of Automation (China)
Nan Zeng, Institute of Automation (China)

Published in SPIE Proceedings Vol. 1469:
Applications of Artificial Neural Networks II
Steven K. Rogers, Editor(s)

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