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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9316506/ https://www.ncbi.nlm.nih.gov/pubmed/35888460 http://dx.doi.org/10.3390/ma15144993 |