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...

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Detalles Bibliográficos
Autores principales: Bekdaş, Gebrail, Cakiroglu, Celal, Kim, Sanghun, Geem, Zong Woo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9316506/
https://www.ncbi.nlm.nih.gov/pubmed/35888460
http://dx.doi.org/10.3390/ma15144993

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