Time difference physics-informed neural network for fractional water wave models

In this article, the time difference physics-informed neural network (TD-PINN) is considered to approximate the solution of fractional water wave models. Based on the TD-PINN framework, the spatial partial derivatives are approximated by applying the neural network’s automatic differential operation...

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Bibliographic Details

Published in:	Results in Applied Mathematics
Main Authors:	Wenkai Liu, Yang Liu, Hong Li
Format:	Article
Language:	English
Published:	Elsevier 2023-02-01
Subjects:	Fractional water wave models Physics-informed neural network Time difference method Numerical calculations
Online Access:	http://www.sciencedirect.com/science/article/pii/S259003742200070X