4 citations · 4 across the 1 of their papers we have counts for
2 papers
math.NA2024
Local Randomized Neural Networks with Discontinuous Galerkin Methods for KdV-type and Burgers Equations
Jingbo Sun, Fei Wang
The Local Randomized Neural Networks with Discontinuous Galerkin (LRNN-DG) methods, introduced in [42], were originally designed for solving linear partial differential equations.…
math.NA2022★ 4 cited
Deep Petrov-Galerkin Method for Solving Partial Differential Equations
Yong Shang, Fei Wang, Jingbo Sun
Deep neural networks are powerful tools for approximating functions, and they are applied to successfully solve various problems in many fields. In this paper, we propose a neural…