River Stage Variability and Extremes in the Itacaiúnas Basin in the Eastern Amazon: Machine Learning-Based Modeling

River Stage Variability and Extremes in the Itacaiúnas Basin in the Eastern Amazon: Machine Learning-Based Modeling

This study fosters tropical hydroclimatology research by implementing a computational modeling framework based on artificial neural networks and machine learning techniques. We evaluated two models, Multilayer Perceptron (MLP) and Support Vector Machine (SVM), in their ability to simulate 20-year mo...

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Main Authors: Luiz Rodolfo Reis Costa, Douglas Batista da Silva Ferreira, Renato Cruz Senna, Adriano Marlisom Leão de Sousa, Alexandre Melo Casseb do Carmo, João de Athaydes Silva, Felipe Gouvea de Souza, Everaldo Barreiros de Souza
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Hydrology
Subjects:
hydrological modeling
Amazon
artificial neural networks
machine learning
hydrometeorology
floods
Online Access:https://www.mdpi.com/2306-5338/12/5/115
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