Modification of PP and Its Application
In order to find a more effective method of solving the problem of subjectivity and difficulty to deal with the high-dimension data, an improved Projection Pursuit (PP) based on Particle Swarm Optimization (PSO) was introduced. The PSO algorithm was employed to optimize the function of the projected indexes in the PP. Application results show the efficiency of the modification. This study has significance in theory and practice for the related research.
Projection Pursuit Particle Swarm Optimization Index System model
Yancang Li Juanjuan Suo Shujing Zhou
Hebei University of Engineering, Handan 056038, China
国际会议
2010 International Conference on Advanced Mechanical Engineering(2010年先进机械工程国际学术会议 AME 2010)
洛阳
英文
273-276
2010-09-04（万方平台首次上网日期，不代表论文的发表时间）