Evaluating different strategies for machine learning training applied to flow forecasting based on clustering of flood events

Evaluating different strategies for machine learning training applied to flow forecasting based on clustering of flood events

ABSTRACT This paper presents a new hydrological modeling approach for discharge prediction based on flood clustering. Combined with Machine Learning techniques, river flow simulation is optimized through increased data similarity within clusters. Using daily mean discharge from 1964 to 2015 in União...

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Bibliographic Details
Main Authors: Patrícia Cristina Steffen, Júlio Gomes, Eloy Kaviski, Daniel Henrique Marco Detzel
Format: Article
Language:English
Published: Associação Brasileira de Recursos Hídricos 2025-05-01
Series:Revista Brasileira de Recursos Hídricos
Subjects:
Artificial Intelligence techniques
Data-driven intelligent models
Fuzzy C-Means algorithm
Hydrological modeling
Support Vector Regression algorithm
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312025000100218&lng=en&tlng=en
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