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Optimal dimensioning of retaining walls using explainable ensemble learning algorithms
(MDPI-Multidisciplinary Digital Publishing Institute, 2022)
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 ...
Optimum design of cylindrical walls using ensemble learning methods
(MDPI-Multidisciplinary Digital Publishing Institute, 2022)
The optimum cost of the structure design is one of the major goals of structural engineers. The availability of large datasets with preoptimized structural configurations can facilitate the process of optimum design ...