Multi-Scale-Matching neural networks for thin plate bending problem

Multi-Scale-Matching neural networks for thin plate bending problem

Physics-informed neural networks (PINN) are a useful machine learning method for solving differential equations, but encounter challenges in effectively learning thin boundary layers within singular perturbation problems. To resolve this issue, Multi-Scale-Matching Neural Networks (MSM-NN) are propo...

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Bibliographic Details
Main Authors: Lei Zhang, Guowei He
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Theoretical and Applied Mechanics Letters
Subjects:
Singular perturbation
Physics-informed neural networks
Boundary layer
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2095034924000059

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http://www.sciencedirect.com/science/article/pii/S2095034924000059

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