Application of Projection Pursuit Classification Model (PPC) based on Particle Swarm Optimization Algorithm (PSO) in Water Quality Evaluation

摘要：

Based on water quality national standard of groundwater, the multi-dimensional dimension-reducing technology of Projection Pursuit Classification Model (PPC) was utilized,considering Particle Swarm Optimization algorithm (PSO) possessed both simple with concept and fast convergence, using PSO to optimize their projection direction to converse the high dimension indexes into low dimension, and using the projection function value to appraise water quality. The result showed that the model can give appropriate assessment of water quality, solve the complexity of the multifactor, and be applied in other environments synthetically evaluation.

关键词： water quality projection pursuit particle swarm optimization algorithm

作者: WANG Bai ZHANG Zhongxue

作者单位: Water and Civil Engineering College Northeast Agricultural University,Harbin 150030,PRC

会议类型: 国际会议

会议名称: 2007 International Conference on Agriculture Engineering(2007年农业工程国际会议)

会议地点: 河北保定

会议语种:英文

页码: 204-209

在线出版日期: 2007-10-20（万方平台首次上网日期，不代表论文的发表时间）