Publication | Open Access

A composite neural network that learns from multi-fidelity data: Application to function approximation and inverse PDE problems

Model OptimizationEngineeringMachine LearningData SciencePde-constrained OptimizationComputational NeuroscienceMultiphysics ModelingPhysic Aware Machine LearningInverse Pde ProblemsInverse ProblemsComposite Neural NetworkRegularization (Mathematics)Recurrent Neural NetworkMulti-fidelity Data