Monte Carlo PINNs: deep learning approach for forward and inverse problems involving high dimensional fractional partial differential equations

no code implementations • 16 Mar 2022 • Ling Guo, Hao Wu, Xiaochen Yu, Tao Zhou

We introduce a sampling based machine learning approach, Monte Carlo physics informed neural networks (MC-PINNs), for solving forward and inverse fractional partial differential equations (FPDEs).