现代电子技术2018，Vol.41Issue(7)：170-173,4.DOI:10.16652/j.issn.1004-373x.2018.07.039
基于数据挖掘的建筑工程造价成本预估模型
Data mining based estimation model of construction project cost
樊文广1
作者信息
- 1. 天津大学,天津300072;内蒙古建筑职业技术学院,内蒙古 呼和浩特010020
- 折叠
摘要
Abstract
The cost estimation is an important research direction in the construction project management. The traditional model can't accurately describe the change tendency of the construction project cost,and has low estimation accuracy of con-struction engineering cost. Therefore,a data mining based estimation model of construction project cost was designed. The mathe-matical model of the construction project cost estimation was established. And then the least square support vector machine (SVM)is adopted to solve the mathematical model of the construction project cost estimation. The improved particle swarm opti-mization(PSO)algorithm is used to optimize the model. The concrete estimation experiment of construction project cost was per-formed to verify the effectiveness of the model. The data mining can improve the estimation accuracy of construction project cost,and the performance of the model is higher than that of other construction project cost estimation models.关键词
建筑工程/质量管理/成本预估/数据挖掘/数学模型/工程造价Key words
construction engineering/quality management/cost estimation/data mining/mathematical model/project cost分类
信息技术与安全科学引用本文复制引用
樊文广..基于数据挖掘的建筑工程造价成本预估模型[J].现代电子技术,2018,41(7):170-173,4.
