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, 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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