基于蚁群优化算法的模糊神经网络控制器及仿真研究

程启明; 王勇浩

###

DOI:

上海电力大学学报:2006,22(2):105-108

查看/发表评论过刊浏览高级检索 HTML

←前一篇 | 后一篇→

码上扫一扫！

下载全文

基于蚁群优化算法的模糊神经网络控制器及仿真研究

程启明¹, 王勇浩²

(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)

The Study on Fuzzy Neural Network Controller Based on ACO Algorithm and Its Simulation

CHENG Qi-ming¹, WANG Yong-hao²

(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)

摘要

图/表

参考文献

本刊相似文献

All Journals 相似文献

All Journals 引证文献

本文已被：浏览 1662次下载 491次
投稿时间：2006-03-06

中文摘要: 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.

中文关键词: 模糊神经网络蚁群优化算法 BP算法

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

文章编号：20060202 中图分类号： 文献标志码：

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

作者	单位
程启明	上海电力学院电力与自动化学院, 上海 200090
王勇浩	上海理工大学光电学院, 上海 200090

Author Name	Affiliation
CHENG Qi-ming	School of Electric Power and Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China
WANG Yong-hao	College of Photoelectricity, University of Shanghai for Science and Technology, Shanghai 200090, China

引用文本：
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].上海电力大学学报,2006,22(2):105-108.
CHENG Qi-ming,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.