Cost Estimation of Metro Construction Projects Using Interpretable Machine Learning-Reference-Cited by-同舟云学术

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Cost Estimation of Metro Construction Projects Using Interpretable Machine Learning

Published:2024-11 Issue:6 Volume:38 Page:
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Meng Chuncheng¹,Qu Daoyuan²,Duan Xiaochen³

Affiliation:

1. Ph.D. Candidate, School of Management, Shijiazhuang Tiedao Univ., 17 Beierhuan East Rd., Shijiazhuang 050043, China.

2. Professor, School of Economics and Law, Shijiazhuang Tiedao Univ., 17 Beierhuan East Rd., Shijiazhuang 050043, China.

3. Professor, School of Management, Shijiazhuang Tiedao Univ., 17 Beierhuan East Rd., Shijiazhuang 050043, China (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JCCEE5.CPENG-6018

Reference47 articles.

1. Scheduling/Cost Optimization and Neural Dynamics Model for Construction

2. Anderson, S. D., K. R. Molenaar, and C. Schexnayder. 2007. Guidance for cost estimation and management for highway projects during planning, programming, and preconstruction. Washington, DC: Transportation Research Board.

3. Cost and Material Quantities Prediction Models for the Construction of Underground Metro Stations

4. Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

5. Baye, M. R., and R. O. Beil. 2006. Managerial economics and business strategy. New York: McGraw-Hill.

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