Construction Cost Prediction Based on Genetic Algorithm and BIM

被引：18

作者：

Zhao, Liang ^{[1
,2
]}

Zhang, Wei ^{[3
]}

Wang, Wenshun ^{[2
]}

机构：

[1] Jiangsu Vocat Inst Architectural Technol, Sch Telecommun Engn, Xuzhou 221000, Jiangsu, Peoples R China

[2] China Univ Min & Technol, Sch Mech & Civil Engn, Xuzhou 221000, Jiangsu, Peoples R China

[3] Jiangsu Vocat Inst Architectural Technol, Inst Bldg Intelligence, Xuzhou 221000, Jiangsu, Peoples R China

来源：

INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE | 2020年 / 34卷 / 07期

关键词：

GA model; engineering cost; BIM; aided analysis; OPTIMIZATION; DESIGN;

D O I：

10.1142/S0218001420590260

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

According to the analysis and prediction of engineering cost, a BIM-aided analysis method based on GA network model is proposed. First, we improve the neural network by genetic algorithm; second, according to the engineering feature vector, BIM software is used to train the GA network model; finally, the GA network model reaches a steady state, given prediction of Engineering cost. According to the experimental study of 20 high-rise residential buildings in YJW area, the experimental results show that the proposed GA model combined with BIM auxiliary analysis method can accurately and easily complete the project cost prediction.

引用

页数：15

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