Multi-output physics-informed neural network for one- and two-dimensional nonlinear time distributed-order models

In this article, a physics-informed neural network based on the time difference method is developed to solve one-dimensional (1D) and two-dimensional (2D) nonlinear time distributed-order models. The FBN-$ \theta $, which is constructed by combining the fractional second order backward difference fo...

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Bibliographic Details

Published in:	Networks and Heterogeneous Media
Main Authors:	Wenkai Liu, Yang Liu, Hong Li, Yining Yang
Format:	Article
Language:	English
Published:	AIMS Press 2023-11-01
Subjects:	multi-output neural network fbn-$ \theta $ method crank-nicolson scheme nonlinear time distributed-order models
Online Access:	https://www.aimspress.com/article/doi/10.3934/nhm.2023080