Machine learning-aided time and cost overrun prediction in construction projects: application of artificial neural network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s42107-023-00665-7.pdf
Reference44 articles.
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3. Alshboul, O., Alzubaidi, M. A., Mamlook, R. E., Almasabha, G., Almuflih, A. S., & Shehadeh, A. (2022). Forecasting liquidated damages via machine learning-based modified regression models for highway construction projects. Sustainability, 14(10), 5835. https://doi.org/10.3390/su14105835
4. Al-Tawal, D., Arafah, M., & Sweis, G. (2020). A model utilizing the artificial neural network in cost estimation of construction projects in Jordan. Engineering, Construction and Architectural Management, 28(9), 2466–2488. https://doi.org/10.1108/ecam-06-2020-0402
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