基于粒子群优化算法的投影寻踪水质评价模型  

Projection Pursuit Evaluation Model for Water Quality Based on the Particle Swarm Optimization Algorithm

作　　者：李学法 周迎红[2] 

机构地区：[1]山东电力工程咨询院有限公司,济南250013 [2]无锡商业职业技术学院,江苏无锡214153

出　　处：《湖北农业科学》2013年第19期4627-4628,4682,共3页Hubei Agricultural Sciences

摘　　要：利用投影寻踪法来评价水质,利用粒子群优化算法来求解最优函数问题,计算速度快,精度高。实例计算表明,基于粒子群优化算法寻找最优投影方向,方法简单,计算效率较高,收敛速度快,解决了投影寻踪过程中最优化问题,是解决复杂水质综合评价的有效途径。The projection pursuit method based on the particle swarm optimization algorithm was used to evaluate the water quality.This method can solve the optimal function problem fast and high precisely.The case study showed that the particle swarm optimization algorithm was a simple and efficient method for searching the optimal projection direction.It could solve the projection pursuit process optimization and was an effective way to solve the complex water quality comprehensively.

关 键 词：粒子群优化算法 投影寻踪 水质评价 

分 类 号：X824[环境科学与工程—环境工程]