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基于神经网络的模糊控制
引用本文:戴文战. 基于神经网络的模糊控制[J]. 哈尔滨商业大学学报(自然科学版), 1997, 0(2)
作者姓名:戴文战
作者单位:杭州商学院电子系
摘    要:提出一种基于神经网络的模糊控制,其模糊化、模糊推理和模糊决策均由神经网络完成,并将用于模糊推理神经网络的输入节点由常规的27个减少到15个,减少了训练量。文末给出该模糊控制结构应用于典型环节的实时控制结果。

关 键 词:BP网络,模糊控制,鲁棒性

A METHOD OF FUZZY CONTROL USING NEURAL NETWORK
Dai Wenzhan. A METHOD OF FUZZY CONTROL USING NEURAL NETWORK[J]. Journal of Harbin University of Commerce :Natural Sciences Edition, 1997, 0(2)
Authors:Dai Wenzhan
Abstract:A method of fuzzy control using neural network was proposed with this method,Fuzzier,rule base,and defuzzier were separately completed by three neural networks.The number of input node of neural network for inference was reduced from 27 to 15,So did the NN slearning time.In the end,a simulation of real-time control was given.The results show that the method is a efficacious one.
Keywords:neural network  fuzzy control  robust
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