Multi-fidelity regression using artificial neural networks: efficient approximation of parameter-dependent output quantities

DOI10.1016/J.CMA.2021.114378zbMath1507.65184arXiv2102.13403MaRDI QIDQ6361607

Maurice Amendt, Jan S. Hesthaven, Mengwu Guo, Andrea Manzoni, Paolo Conti

Publication date: 26 February 2021

Numerical computation using splines (65D07) Artificial neural networks and deep learning (68T07) Neural networks for/in biological studies, artificial life and related topics (92B20) Finite element, Rayleigh-Ritz and Galerkin methods for initial value and initial-boundary value problems involving PDEs (65M60) Numerical radial basis function approximation (65D12)

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