Hydrological modeling based on the KNN algorithm: An application for the forecast of daily flows of the Ramis river, Peru
The forecast of river stream flows is of significant importance for the development of early warning systems. Artificial intelligence algorithms have proven to be an effective tool in hydrological modeling data-driven, since they allow establishing relationships between input and output data of a wa...
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| Autores principales: | , , , |
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| Formato: | Artículo |
| Lenguaje: | inglés |
| Publicado: |
Instituto Mexicano de Tecnologia del Agua
2023
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| Materias: | |
| Acceso en línea: | Enlace permanente (DOI o Handle) |
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