Optimizing machine learning algorithms for spatial prediction of gully erosion susceptibility with four training scenarios

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Detalles Bibliográficos
Publicado en:	Environmental Science and Pollution Research vol. 30, no. 16 (Apr 2023), p. 46979
Autor principal:	Liu, Guoqing
Otros Autores:	Arabameri, Alireza, Santosh, M., Nalivan, Omid Asadi
Publicado:	Springer Nature B.V.
Materias:	Databases Agricultural land Gullies Soil erosion Modelling Artificial neural networks Environmental perception Mapping Machine learning Erosion rates Maximum entropy Entropy Learning algorithms Training Landforms Datasets Gully erosion Support vector machines Algorithms Neural networks Environmental science Environmental
Acceso en línea:	Citation/Abstract Full Text - PDF
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