A comparative study of machine learning regression models for predicting construction duration-Reference-Cited by-同舟云学术

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A comparative study of machine learning regression models for predicting construction duration

Published:2023-11-05 Issue: Volume: Page:1-17
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:

Zhang Shen¹,Li Xuechun¹

Affiliation:

1. Engineering Digital Technology Center, Central-south Architectural Design Institute Co., Ltd, Wuhan, China

Funder

funding

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/10.1080/13467581.2023.2278887

Reference58 articles.

1. Causes of Delay in Building Construction Projects in Egypt

2. Machine Learning-Based Model for Predicting the Shear Strength of Slender Reinforced Concrete Beams without Stirrups

3. Forecasting Liquidated Damages via Machine Learning-Based Modified Regression Models for Highway Construction Projects

4. Evaluating the Impact of External Support on Green Building Construction Cost: A Hybrid Mathematical and Machine Learning Prediction Approach

5. Extreme Gradient Boosting-Based Machine Learning Approach for Green Building Cost Prediction

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Load Capacity Prediction of Corroded Steel Plates Reinforced with Adhesive and High-Strength Bolts Using a Particle Swarm Optimization Machine Learning Model;Buildings;2024-07-30

2. Duration and resource constraint prediction models for construction projects using regression machine learning method;Engineering, Construction and Architectural Management;2024-06-25

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