1 August 1991 Controller implemented by recording the fuzzy rules by backpropagation neural networks
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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.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xingren Ying, Xingren Ying, Nan Zeng, Nan Zeng, } "Controller implemented by recording the fuzzy rules by backpropagation neural networks", Proc. SPIE 1469, Applications of Artificial Neural Networks II, (1 August 1991); doi: 10.1117/12.45016; https://doi.org/10.1117/12.45016
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