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Flow fields prediction for data-driven model of parallel twin cylinders based on POD-RBFNN and POD-BPNN surrogate models

Guangyun Min, Naibin Jiang

2024Annals of Nuclear Energy52 citationsDOI

Topics & Concepts

Point of deliverySurrogate modelSurrogate dataComputational fluid dynamicsSnapshot (computer storage)Artificial neural networkComputer scienceMathematicsProper orthogonal decompositionAlgorithmArtificial intelligenceMathematical optimizationMechanicsPhysicsOperating systemNonlinear systemAgronomyBiologyQuantum mechanicsModel Reduction and Neural NetworksFluid Dynamics and Vibration AnalysisHydraulic and Pneumatic Systems
Flow fields prediction for data-driven model of parallel twin cylinders based on POD-RBFNN and POD-BPNN surrogate models | Litcius