A Novel GIS-Based Random Forest Machine Algorithm for the Spatial Prediction of Shallow Landslide Susceptibility

A Novel GIS-Based Random Forest Machine Algorithm for the Spatial Prediction of Shallow Landslide Susceptibility

This study developed and verified a new hybrid machine learning model, named random forest machine (RFM), for the spatial prediction of shallow landslides. RFM is a hybridization of two state-of-the-art machine learning algorithms, random forest classifier (RFC) and support vector machine (SVM), in...

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Bibliographic Details
Main Authors: Viet-Hung Dang, Nhat-Duc Hoang, Le-Mai-Duyen Nguyen, Dieu Tien Bui, Pijush Samui
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Forests
Subjects:
random forest machine
landslide
geographic information system
machine learning
hybrid approach
Online Access:https://www.mdpi.com/1999-4907/11/1/118

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