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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...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2019
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| Materias: | |
| 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 |