Deep neural network methods for solving forward and inverse problems of time fractional diffusion equations with conformable derivative

Yinlin Ye, Yajing Li, Hongtao Fan +2

Physics-informed neural networks (PINNs) show great advantages in solving partial differential equations. In this paper, we for the first time propose to study conformable time fra…