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.
The fuzzy neural network controller based on ACO algorithm is proposed. The structure of fuzzy neural network controUer is given, and its parameters are optimized by Ant Colony Optimization algorithm. The simulation results show the feasibility and validity of the proposed method.
出处
《上海电力学院学报》
CAS
2006年第2期105-108,共4页
Journal of Shanghai University of Electric Power
基金
上海市重点学科建设项目(P1303)
上海市教委发展基金(020K02)资助
