Coupling logistic model tree and random subspace to predict the landslide susceptibility areas with considering the uncertainty of environmental features

Landslide disasters cause huge casualties and economic losses every year, how to accurately forecast the landslides has always been an important issue in geo-environment research. In this paper, a hybrid machine learning approach RSLMT is firstly proposed by coupling Random Subspace (RS) and Logisti...

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Detalles Bibliográficos
Autores principales: Luo, Xiangang, Lin, Feikai, Chen, Yihong, Zhu, Shuang, Xu, Zhanya, Huo, Zhibin, Yu, Mengliang, Peng, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6814778/
https://www.ncbi.nlm.nih.gov/pubmed/31653958
http://dx.doi.org/10.1038/s41598-019-51941-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6814778/
https://www.ncbi.nlm.nih.gov/pubmed/31653958
http://dx.doi.org/10.1038/s41598-019-51941-z

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