Using machine learning to predict processes and morphometric features of watershed

The research aims to classify alluvial fans’ morphometric properties using the SOM algorithm. It also determines the relationship between morphometric characteristics and erosion rate and lithology using the GMDH algorithm. For this purpose, alluvial fans of 4 watersheds in Iran are extracted semi-a...

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Detalles Bibliográficos
Autores principales: Mokarram, Marzieh, Pourghasemi, Hamid Reza, Tiefenbacher, John P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10212989/
https://www.ncbi.nlm.nih.gov/pubmed/37231078
http://dx.doi.org/10.1038/s41598-023-35634-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10212989/
https://www.ncbi.nlm.nih.gov/pubmed/37231078
http://dx.doi.org/10.1038/s41598-023-35634-2

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