Optimal staggered-grid finite-difference method for wave modeling based on artificial neural networks
DOI10.1016/j.camwa.2022.01.012OpenAlexW4205725108MaRDI QIDQ2074113
Xu Guo, Jiansen Wang, Yuxiao Ren, Senlin Yang
Publication date: 4 February 2022
Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.camwa.2022.01.012
least square methodartificial neural networksnumerical dispersionwave modelingstaggered-grid finite-difference method
Learning and adaptive systems in artificial intelligence (68T05) Seismology (including tsunami modeling), earthquakes (86A15) Hyperbolic conservation laws (35L65) Finite difference methods for initial value and initial-boundary value problems involving PDEs (65M06) Finite element, Rayleigh-Ritz and Galerkin methods for initial value and initial-boundary value problems involving PDEs (65M60)
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Cites Work
- Optimized explicit finite-difference schemes for spatial derivatives using maximum norm
- Optimal fourth-order staggered-grid finite-difference scheme for 3D frequency-domain viscoelastic wave modeling
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- Classroom Note:Calculation of Weights in Finite Difference Formulas
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