Evaluation and prediction of design-time product structural analysis assistance using XGBoost and Grey Wolf Optimizer
Author:
Publisher
Springer Science and Business Media LLC
Subject
Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s42107-023-00916-7.pdf
Reference34 articles.
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3. Al Yamani, W. H., Ghunimat, D. M., & Bisharah, M. M. (2023). Modeling and predicting the sensitivity of high-performance concrete compressive strength using machine learning methods. Asian Journal of Civil Engineering, 24(7), 1943–1955. https://doi.org/10.1007/s42107-023-00614-4
4. Arabiat, A., Al-Bdour, H., & Bisharah, M. (2023). Predicting the construction projects time and cost overruns using K-nearest neighbor and artificial neural network: a case study from Jordan. Asian Journal of Civil Engineering, 24(7), 2405–2414. https://doi.org/10.1007/s42107-023-00649-7
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