Optimal Dimensioning of Retaining Walls Using Explainable Ensemble Learning Algorithms
This paper develops predictive models for optimal dimensions that minimize the construction cost associated with reinforced concrete retaining walls. Random Forest, Extreme Gradient Boosting (XGBoost), Categorical Gradient Boosting (CatBoost), and Light Gradient Boosting Machine (LightGBM) algorithm...
Main Authors: | Gebrail Bekdaş, Celal Cakiroglu, Sanghun Kim, Zong Woo Geem |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-07-01
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Series: | Materials |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1944/15/14/4993 |
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