Mapping wind erosion hazard with regression-based machine learning algorithms

Land susceptibility to wind erosion hazard in Isfahan province, Iran, was mapped by testing 16 advanced regression-based machine learning methods: Robust linear regression (RLR), Cforest, Non-convex penalized quantile regression (NCPQR), Neural network with feature extraction (NNFE), Monotone multi-...

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Detalles Bibliográficos
Autores principales: Gholami, Hamid, Mohammadifar, Aliakbar, Bui, Dieu Tien, Collins, Adrian L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7686346/
https://www.ncbi.nlm.nih.gov/pubmed/33235269
http://dx.doi.org/10.1038/s41598-020-77567-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7686346/
https://www.ncbi.nlm.nih.gov/pubmed/33235269
http://dx.doi.org/10.1038/s41598-020-77567-0

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