Slope stability prediction using ensemble learning techniques: A case study in Yunyang County, Chongqing, China

Slope stability prediction using ensemble learning techniques: A case study in Yunyang County, Chongqing, China

Slope stability prediction plays a significant role in landslide disaster prevention and mitigation. This study develops an ensemble learning-based method to predict the slope stability by introducing the random forest (RF) and extreme gradient boosting (XGBoost). As an illustration, the proposed ap...

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Bibliographic Details
Main Authors: Wengang Zhang, Hongrui Li, Liang Han, Longlong Chen, Lin Wang
Format: Article
Language:English
Published: Elsevier 2022-08-01
Series:Journal of Rock Mechanics and Geotechnical Engineering
Subjects:
Machine learning
Slope stability
Yunyang county
Extreme gradient boosting (XGBoost)
Random forest (RF)
Online Access:http://www.sciencedirect.com/science/article/pii/S1674775522000142

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http://www.sciencedirect.com/science/article/pii/S1674775522000142

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