Mapping wind erosion hazard with regression-based machine learning algorithms

Mapping wind erosion hazard with regression-based machine learning algorithms

Abstract 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), Monoto...

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Autores principales: Hamid Gholami, Aliakbar Mohammadifar, Dieu Tien Bui, Adrian L. Collins
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/6cc90782ff3b44d1a046fcc3ff1da721
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