摘要
介绍层次化粒子群优化算法,采用自下而上的方式在层次结构中移动粒子.将此算法应用到分类问题,用于Iris数据集的分类规则提取,并与标准的粒子群优化(ParticleSwarmOptimizer,PSO)算法相比较,结果表明提取规则的精度得到提高.
The hierarchical particle swarm optimization algorithm is introduced. The optimization algorithm that the particles are updated from bottom to top in the hierarchy is proposed, which is applied to extract classification rule. It is used for Iris data set to extract classification rule, and compared with standard particle swarm optimizer （PSO） algorithm. The simulation results show that the classification extraction rule accuracy is improved.
出处
《计算机辅助工程》
2006年第3期39-41,50,共4页
Computer Aided Engineering
基金
吉林省科技发展应用基础项目(20040531)
关键词
层次化粒子群
分类规则
规则提取
hierarchical particle swarm
classification rule
rule extraction
