Recurrent Neural Networks as Optimal Mesh Refinement Strategies

DOI10.1016/j.camwa.2021.05.018zbMath1524.65759arXiv1909.04275MaRDI QIDQ6324992

Michael Feischl, Jan Bohn

Publication date: 10 September 2019

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Boundary value problems for second-order elliptic equations (35J25) Error bounds for boundary value problems involving PDEs (65N15) Stability and convergence of numerical methods for boundary value problems involving PDEs (65N12) Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs (65N30) Mesh generation, refinement, and adaptive methods for boundary value problems involving PDEs (65N50) PDEs on graphs and networks (ramified or polygonal spaces) (35R02)

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