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基于蚁群优化算法的模糊神经网络控制器及仿真研究
引用本文:程启明,王勇浩.基于蚁群优化算法的模糊神经网络控制器及仿真研究[J].上海电力学院学报,2006,22(2):105-108.
作者姓名:程启明  王勇浩
作者单位:1. 上海电力学院,电力与自动化学院,上海,200090
2. 上海理工大学,光电学院,上海,200090
基金项目:上海市重点学科建设项目(P1303),上海市教委发展基金(020K02)资助
摘    要:提出了一种基于蚁群优化算法的模糊神经网络控制系统,并介绍了模糊神经网络控制器的结构及其参数的蚁群优化算法.仿真结果表明了该方法的可行性和有效性.

关 键 词:模糊神经网络  蚁群优化算法  BP算法
文章编号:1006-4729(2006)02-0105-04
收稿时间:3/6/2006 12:00:00 AM
修稿时间:2006年3月6日

The Study on Fuzzy Neural Network Controller Based on ACO Algorithm and Its Simulation
CHENG Qi-ming and WANG Yong-hao.The Study on Fuzzy Neural Network Controller Based on ACO Algorithm and Its Simulation[J].Journal of Shanghai University of Electric Power,2006,22(2):105-108.
Authors:CHENG Qi-ming and WANG Yong-hao
Affiliation:1. School of Electric Power and Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China;2. College of Photoelectricity, University of Shanghai for Science and Technology, Shanghai 200090, China
Abstract:The fuzzy neural network controller based on ACO algorithm is proposed.The structure of fuzzy neural network controller is given,and its parameters are optimized by Ant Colony Optimization algorithm.The simulation results show the feasibility and validity of the proposed method.
Keywords:fuzzy neural network  ACO algorithm  BP algorithm
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