摘要
Eberhart在［1］中提出了粒子群游优化算法（ParticleSwarmOptimizationAlgorithm）。该文将改进后的粒子群游算法应用于模糊逻辑系统自学习。模糊辨识器的计算机模拟证明了改进算法的有效性。
Particle swarm optimization algorithm is developed by Eberhart[1]. A new hybrid adaptive algorithm based on modified particle swarm optimization is proposed in this paper to learn the pmeters of fuzzy logic system.The valldi ty and effectiveness of the algorithm are demonstraed by computer simtilaon in fuzzy identifier.
出处
《计算机工程与应用》
CSCD
北大核心
2000年第7期62-63,147,共3页
Computer Engineering and Applications
关键词
粒子群游优化
模糊逻辑系统
自学习算法
Particle Swarm Optimization,Back Propagation Algorithm,Genetic Algorithm
