摘要
根据遗传算法和智能控制的特点,提出了一种基于遗传算法的模糊神经网络控制器,遗传算法主要优化模糊神经控制器的隶属度参数和第三层的网络节点。对优化后的控制器进行了仿真比较研究.仿真结果表明,该控制器有较好的控制性能。
With the characters of GA and intell gent control,a new FNNC based on GA is presented in this paper. The GA is utilized to optimize the membership function parameters and network node of third layer. We simulated the optimized controller. Simulation results show that the proposed controller offers good performance.
出处
《河北理工大学学报（自然科学版）》
CAS
2007年第3期69-72,76,共5页
Journal of Hebei Polytechnic University:Social Science Edition
关键词
遗传算法
模糊神经网络
隶属度函数
仿真
genetic algorthms
fuzzy-nural network
membership fuction
simulation
