引用本文:姚尹武,熊金涛 ,毛宗源.一种神经网络自组织模糊控制*[J].控制理论与应用,1996,13(6):738~744.[点击复制]
YAO Yinwu,XIONG Jintao,MAO Zongyuan.A Neural Network Self-Organized Fuzzy Control[J].Control Theory and Technology,1996,13(6):738~744.[点击复制]
一种神经网络自组织模糊控制*
A Neural Network Self-Organized Fuzzy Control
摘要点击 1090  全文点击 471  投稿时间：1995-10-31  修订日期：1996-05-20
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DOI编号  
  1996,13(6):738-744
中文关键词  模糊控制  动态BP网络  自组织
英文关键词  fuzzy control  dynamic structured BP neural network  self-organize
基金项目  
作者单位
姚尹武,熊金涛 ,毛宗源 华南理工大学自动化系 
中文摘要
      本文提出一类基于神经网络的模糊控制．首先，它利用具有动态结构的BP网络进行模糊推理，实现模糊控制的最优推理过程．其次，它采用另一具有动态结构的BP网络校正现有的控制规则，实现规则自组织，在控制过程中不断优化控制性能，从而使控制的效果更加理想．
英文摘要
      A kind of fuzzy control based on neural network is proposed in this paper. Firstly，back propagation neural network which has dynamic structure is used to do fuzzy inference in order to implement the optimal inference process of fuzzy control. Secondly，it employes another dynamic structured BP neural network to adjust existing control rules. Therefore the self--organization of rules is implemented.The control performance is constantly optimized during Control process.So the control result will be better.