Landslide Susceptibility Assessment Based on Different MaChine Learning Methods in Zhaoping County of Eastern Guangxi

Landslide Susceptibility Assessment Based on Different MaChine Learning Methods in Zhaoping County of Eastern Guangxi

Regarding the ever increasing and frequent occurrence of serious landslide disaster in eastern Guangxi, the current study was implemented to adopt support vector machines (SVM), particle swarm optimization support vector machines (PSO-SVM), random forest (RF), and particle swarm optimization random...

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Bibliographic Details
Main Authors: Chunfang Kong, Yiping Tian, Xiaogang Ma, Zhengping Weng, Zhiting Zhang, Kai Xu
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Remote Sensing
Subjects:
susceptibility evaluation
machine-learning (ML)
particle swarm optimization (PSO)
support vector machines (SVM)
random forest (RF)
Online Access:https://www.mdpi.com/2072-4292/13/18/3573

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https://www.mdpi.com/2072-4292/13/18/3573

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