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

Ling Guo, Hao Wu, Xiaochen Yu +1

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