Controller implemented by recording the fuzzy rules by backpropagation neural networks
Xingren Ying, Nan Zeng · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1991
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.