Comparative study of different machine learning models in landslide susceptibility assessment: A case study of Conghua District, Guangzhou, China

Comparative study of different machine learning models in landslide susceptibility assessment: A case study of Conghua District, Guangzhou, China

Machine learning is currently one of the research hotspots in the field of landslide prediction. To clarify and evaluate the differences in characteristics and prediction effects of different machine learning models, Conghua District, which is the most prone to landslide disasters in Guangzhou, was...

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Bibliographic Details
Main Authors: Ao Zhang, Xin-wen Zhao, Xing-yuezi Zhao, Xiao-zhan Zheng, Min Zeng, Xuan Huang, Pan Wu, Tuo Jiang, Shi-chang Wang, Jun He, Yi-yong Li
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2024-01-01
Series:China Geology
Subjects:
Landslides susceptibility assessment
Machine learning
Logistic Regression
Random Forest
Support Vector Machines
XGBoost
Online Access:http://www.sciencedirect.com/science/article/pii/S2096519224000594
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http://www.sciencedirect.com/science/article/pii/S2096519224000594

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