引用本文:赵保军,孙圣和.模糊逻辑控制器的模糊神经网络实现[J].控制理论与应用,1997,14(3):439~443.[点击复制]
ZHAO Baojun and SUN shenghe.Fuzzy Logic Controller,s Implementing by Fuzzy Neural Network[J].Control Theory and Technology,1997,14(3):439~443.[点击复制]
模糊逻辑控制器的模糊神经网络实现
Fuzzy Logic Controller,s Implementing by Fuzzy Neural Network
摘要点击 1975  全文点击 428  投稿时间:1995-03-28  修订日期:1996-08-12
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DOI编号  
  1997,14(3):439-443
中文关键词  模糊逻辑控制  神经网络  模糊神经元  推理  实现
英文关键词  fuzzy logic control  neural network  fuzzy-neuron  inference  implement
基金项目  
作者单位
赵保军,孙圣和 哈尔滨工业大学自动化测试与控制系 
中文摘要
      模糊逻辑是人脑思维活动的基本方式[1.2],而神经网络则是模仿人脑神经系统功能而设计的一类巨型非线性网络[3].所以将模糊逻辑与神经网络相结合具有很大的前途.本文利用模糊神经元突破了没有计算机就不能实现模糊控制的传统观点,给出了一种不用计算机就能实现的模糊神经网络控制器(FNNC),对模糊控制的硬件实现起到积极的作用.
英文摘要
      Fuzzy logic is the basic mode of human thinking,whereas neural network is designed as one of largenon-linear networks by emulating human brain neural system,s function.It is of prospect to combine both of them.With the fuzzy-neuron,we through the limitation-without computer,without fuzzy logic control.A fuzzy logic controller is implemented without using computer in this paper,it is useful to hardware implement of fuzzy logic control;.