Predicting project cost overrun levels in bidding stage using ensemble learning-Reference-Cited by-同舟云学术

Predicting project cost overrun levels in bidding stage using ensemble learning

Published:2020-06-17 Issue:6 Volume:19 Page:586-599
ISSN:1346-7581
Container-title:Journal of Asian Architecture and Building Engineering
language:en
Short-container-title:Journal of Asian Architecture and Building Engineering

Author:

Moon Hyosoo¹,Williams Trefor P.²,Lee Hyun-Soo³,Park Moonseo³

Affiliation:

1. Department of Architecture and Architectural Engineering, Seoul National University, Seoul, South Korea

2. Department of Civil and Environmental Engineering, Rutgers University, Piscataway, NJ, USA

3. Department of Architecture and Architectural Engineering, Institute of Construction and Environmental Engineering, Seoul National University, Seoul, South Korea

Publisher

Informa UK Limited

Subject

Arts and Humanities (miscellaneous),Building and Construction,Cultural Studies,Architecture,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/13467581.2020.1765171

Reference63 articles.

1. Dealing with construction cost overruns using data mining

2. Comparison of Case-Based Reasoning and Artificial Neural Networks

3. Quantifying Performance for the Integrated Project Delivery System as Compared to Established Delivery Systems

4. Predicting Cost Deviation in Reconstruction Projects: Artificial Neural Networks versus Regression

5. Comparison of Predictive Cost Models for Bridge Replacement Projects

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