Dynamic prediction model of bridge project life cycle cost investment based on decision tree algorithm. Issue 1 (April 2021)

• Record Type: Journal Article
• Authors: Li, Jing; Li, Xu; Zhang, Zhuoqun
• Is Part Of: IOP conference series. Volume 760:Issue 1(2021)
• Publication Date: 2021-04
• Subjects: Earth sciences -- Periodicals; Environmental sciences -- Congresses; Environmental sciences -- Periodicals; 550.5
• DOI: 10.1088/1755-1315/760/1/012049
• Languages: English
• ISSNs: 1755-1307

Abstract

Abstract: In order to further improve the dynamic prediction effect of bridge engineering life cycle cost, a life cycle cost prediction model of bridge engineering is established by using decision tree algorithm, and the influence coefficient of bridge engineering characteristics on cost is analyzed by data acquisition method. After analysis, the project characteristics which have great influence on the cost of bridge engineering are determined. The decision tree algorithm is used to establish the dynamic prediction model of bridge engineering life cycle cost; through MATLAB software, a good bridge cost prediction model is gradually established, and the model is trained, modified and verified according to the actual engineering data. The dynamic prediction model of life cycle cost investment of bridge engineering is established by using decision tree algorithm, which effectively improves the prediction accuracy and has strong practicability.