Machine-learning methods for hydrological imputation data: analysis of the goodness of fit of the model in hydrographic systems of the Pacific - Ecuador
Computational methods based on machine learning have had extensive development and application in hydrology, especially for modelling systems that do not have enough data. Within this problem, there are data series that are missing, and that should not necessarily be discarded; this is achieved by m...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHi)
2021-06-01
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| Series: | Revista Ambiente & Água |
| Subjects: | |
| Online Access: | https://www.scielo.br/j/ambiagua/a/m3nQgWQLmhHqPghwMKHtnNP/?lang=en |