Projection pursuit cluster model based on genetic algorithm and its application in Karstic water pollution evaluation.

Autor: Shunjiu Wang1 wsjbnu@163.com, Xinli Zhang2 zhangxinli@openmba.com, Zhifeng Yang1 zfyang@bnu.edu.cn, Jing Ding3 wangws70@sina.com, Zhenyao Shen1 z.y.shen@163.com
Předmět:
Zdroj: International Journal of Environment & Pollution. 2006, Vol. 28 Issue 3/4, p253-260. 8p. 1 Chart.
Abstrakt: A projection pursuit cluster model is used to resolve the problem of Karstic water pollution evaluation. First, the projection pursuit cluster model is stated. Then, a genetic algorithm is applied to optimise the projection direction of the projection pursuit cluster model, and the steps of the genetic algorithm are introduced in detail. Finally, a case study of Karstic water pollution evaluation is presented. The projection pursuit cluster model is a powerful tool in analysing complex multifactor problems, and it is also a new method for Karstic water pollution evaluation. [ABSTRACT FROM AUTHOR]
Databáze: GreenFILE