Assessment of hybrid machine learning algorithms using TRMM rainfall data for daily inflow forecasting in Três Marias Reservoir, eastern Brazil

Assessment of hybrid machine learning algorithms using TRMM rainfall data for daily inflow forecasting in Três Marias Reservoir, eastern Brazil

This study investigates the application of the Gaussian Radial Basis Function Neural Network (GRNN), Gaussian Process Regression (GPR), and Multilayer Perceptron Optimized by Particle Swarm Optimization (MLP-PSO) models in analyzing the relationship between rainfall and runoff and in predicting runo...

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Bibliographic Details
Main Authors: Ehab Gomaa, Bilel Zerouali, Salah Difi, Khaled A. El-Nagdy, Celso Augusto Guimarães Santos, Zaki Abda, Sherif S.M. Ghoneim, Nadjem Bailek, Richarde Marques da Silva, Jitendra Rajput, Enas Ali
Format: Article
Language:English
Published: Elsevier 2023-08-01
Series:Heliyon
Subjects:
Floods
Empirical mode decomposition (EMD)
Brazilian river basin
Water resource management
Particle swarm optimization (PSO)
Hydrological simulation
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023060279

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http://www.sciencedirect.com/science/article/pii/S2405844023060279

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