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Uncertainty quantification for hydrological models based on neural networks: the dropout ensemble

Daniel Althoff, Lineu Neiva Rodrigues, Helizani Couto Bazame

2021Stochastic Environmental Research and Risk Assessment69 citationsDOIOpen Access PDF

Topics & Concepts

Dropout (neural networks)Computational intelligenceArtificial neural networkComputer scienceArtificial intelligenceMachine learningHydrological Forecasting Using AIHydrology and Watershed Management StudiesMeteorological Phenomena and Simulations
Uncertainty quantification for hydrological models based on neural networks: the dropout ensemble | Litcius