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...

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Bibliographic Details
Main Authors: Diego Heras, Carlos Matovelle
Format: Article
Language:English
Published: Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHi) 2021-06-01
Series:Revista Ambiente & Água
Subjects:
Online Access:https://www.scielo.br/j/ambiagua/a/m3nQgWQLmhHqPghwMKHtnNP/?lang=en