计算机工程与应用 ›› 2011, Vol. 47 ›› Issue (2): 239-241.DOI: 10.3778/j.issn.1002-8331.2011.02.071

• 工程与应用 • 上一篇    下一篇

蚁群化学聚类在工程项目风险预测中的应用研究

王 翔,郑建国,王玉玲   

  1. 东华大学 旭日工商管理学院,上海 200051
  • 收稿日期:2009-04-27 修回日期:2009-07-06 出版日期:2011-01-11 发布日期:2011-01-11
  • 通讯作者: 王 翔

Application of AntClust algorithm in projects risk forecasting

WANG Xiang,ZHENG Jianguo,WANG Yuling   

  1. Glorious Sun School of Business and Management,Donghua University,Shanghai 200051,China
  • Received:2009-04-27 Revised:2009-07-06 Online:2011-01-11 Published:2011-01-11
  • Contact: WANG Xiang

摘要: 工程项目风险预测是一个非常重要的问题,项目经理都很关心,但是至今仍然没有一种项目风险预测方法得到学者们公认。尝试将蚁群化学聚类算法用于这一问题,并通过一个算例来说明整个过程,结果显示预测效果良好。针对此问题将蚁群化学聚类算法与SVM进行了比较,表明了与SVM相比蚁群化学聚类算法具有简单易操作的特性。

关键词: 蚁群化学聚类, 支持向量机, 风险预测

Abstract: Project risk prediction is a very important issue,project managers very concern about it.But there is not a method accepted by most of the scholar until today.This paper tries to use AntClust algorithm to resolve this problem and through a numerical example to explain the whole process,the result of the indicating is good.It finds out that compared with SVM the AntClust algorithm has the characteristics of simple operation.

Key words: AntClust, Support Vector Machine(SVM), risk forecast

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