A priori neural networks versus a posteriori MOOD loop: a high accurate 1D FV scheme testing bed
DOI10.1007/s10915-020-01282-1zbMath1450.65093OpenAlexW3044951046MaRDI QIDQ2007012
Raphaël Loubère, Alexandre Bourriaud, Rodolphe Turpault
Publication date: 12 October 2020
Published in: Journal of Scientific Computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10915-020-01282-1
Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) Finite difference methods for initial value and initial-boundary value problems involving PDEs (65M06) Error bounds for initial value and initial-boundary value problems involving PDEs (65M15) Applications to the sciences (65Z05) Radiative transfer in astronomy and astrophysics (85A25) Finite volume methods for initial value and initial-boundary value problems involving PDEs (65M08)
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