A rate of convergence of Physics Informed Neural Networks for the linear second order elliptic PDEs

Yuling Jiao, Yanming Lai, Dingwei Li +4

In recent years, physical informed neural networks (PINNs) have been shown to be a powerful tool for solving PDEs empirically. However, numerical analysis of PINNs is still missing…