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基于GA-BP的模糊神经网络控制器与Elman辨识器的系统设计
引用本文:程启明.基于GA-BP的模糊神经网络控制器与Elman辨识器的系统设计[J].数学的实践与认识,2004,34(9):76-81.
作者姓名:程启明
作者单位:上海电力学院信控系,上海,200090
基金项目:上海市教委发展基金 (0 2 0 K0 2 ),江苏省计算机信息处理技术重点实验室开放课题基金资助 (苏大科[2 0 0 0 ]0 7号 )
摘    要:提出了一种基于神经网络的模糊控制系统 ,该系统由模糊神经网络控制器和模型辨识网络组成 .文中介绍了模糊神经网络控制器采用遗传算法离线优化与 BP算法在线调整 ,给出了具体控制算法 ,推导了变形 Elmam网络的系统辨识算法 .仿真结果表明了此法的可行性和有效性 .

关 键 词:模糊神经网络  遗传算法  BP算法  Elman网络
修稿时间:2003年7月29日

Design for the System of the Fuzzy Neural Network Controller Based on GA-BP Algorithm and the Model Identifier of Elman Network
CHENG Qi-ming.Design for the System of the Fuzzy Neural Network Controller Based on GA-BP Algorithm and the Model Identifier of Elman Network[J].Mathematics in Practice and Theory,2004,34(9):76-81.
Authors:CHENG Qi-ming
Abstract:The fuzzy controller using neural network is proposed, this system consists of a fuzzy neural network controller and a model identification network, the fuzzy neural network controller is optimized by the offline genetic algorithm of global searching ability, and the online BP algorithm ability of local searching. The detailed control algorithm is given, the algorithm of system identification based on modified Elman network is ratiocinated. The simulation show the feasibility and validity of the proposed method.
Keywords:fuzzy neural network  genetic algorithm  BP algorithm  elman network
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