Optimal staggered-grid finite-difference method for wave modeling based on artificial neural networks
type: Item
instance of: scholarly article
title: Optimal staggered-grid finite-difference method for wave modeling based on artificial neural networks
author: Xu Guo
author: Jiansen Wang
author: Senlin Yang
author: Yuxiao Ren
publication date: 2022-02-04T00:00:00Z
Mathematics Subject Classification ID: 65M06
Mathematics Subject Classification ID: 86A15
Mathematics Subject Classification ID: 65M60
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 35L65
zbMATH DE Number: 7469175
zbMATH Keywords: staggered-grid finite-difference method
zbMATH Keywords: artificial neural networks
zbMATH Keywords: wave modeling
zbMATH Keywords: least square method
zbMATH Keywords: numerical dispersion
describes a project that uses: PyTorch
MaRDI profile type: Publication
full work available at URL: j.camwa.2022.01.012
OpenAlex ID: W4205725108
cites work: Classroom Note:Calculation of Weights in Finite Difference Formulas
cites work: Optimal staggered-grid finite-difference schemes by combining Taylor-series expansion and sampling approximation for wave equation modeling
cites work: Optimized explicit finite-difference schemes for spatial derivatives using maximum norm
cites work: Optimal fourth-order staggered-grid finite-difference scheme for 3D frequency-domain viscoelastic wave modeling
cites work: Determination of finite difference coefficients for the acoustic wave equation using regularized least-squares inversion
cites work: An artificial neural network as a troubled-cell indicator
cites work: Non-intrusive reduced order modeling of nonlinear problems using neural networks
cites work: Controlling oscillations in high-order discontinuous Galerkin schemes using artificial viscosity tuned by neural networks
DOI: 10.1016/J.CAMWA.2022.01.012
published in: Computers & Mathematics with Applications
description: scientific article; zbMATH DE number 7469175