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Non-intrusive reduced-order modeling using uncertainty-aware Deep Neural Networks and Proper Orthogonal Decomposition: Application to flood modeling

Pierre Jacquier, Azzedine Abdedou, Vincent Delmas, Azzeddine Soulaïmani

2020Journal of Computational Physics69 citationsDOIOpen Access PDF

Topics & Concepts

Proper orthogonal decompositionFlood mythArtificial neural networkComputer scienceDecompositionOrder (exchange)Mathematical optimizationArtificial intelligenceApplied mathematicsAlgorithmMathematicsMeteorologyGeographyArchaeologyEconomicsFinanceBiologyEcologyTurbulenceModel Reduction and Neural NetworksPower System Optimization and StabilityHydrology and Drought Analysis
Non-intrusive reduced-order modeling using uncertainty-aware Deep Neural Networks and Proper Orthogonal Decomposition: Application to flood modeling | Litcius