Optimal Dimensioning of Retaining Walls Using Explainable Ensemble Learning Algorithms

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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Bibliographic Details
Main Authors: Gebrail Bekdaş, Celal Cakiroglu, Sanghun Kim, Zong Woo Geem
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Materials
Subjects:
machine learning
optimization
structural design
Online Access:https://www.mdpi.com/1996-1944/15/14/4993

Internet

https://www.mdpi.com/1996-1944/15/14/4993

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