Solving Inverse Wave Problems Using Spacetime Radial Basis Functions in Neural Networks

Solving Inverse Wave Problems Using Spacetime Radial Basis Functions in Neural Networks

Conventional methods for solving inverse wave problems struggle with ill-posedness, significant computational demands, and discretization errors. In this study, we propose an innovative framework for solving inverse problems in wave equations by using deep learning techniques with spacetime radial b...

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Bibliographic Details
Main Authors:	Chih-Yu Liu, Cheng-Yu Ku, Wei-Da Chen, Ying-Fan Lin, Jun-Hong Lin
Format:	Article
Language:	English
Published:	MDPI AG 2025-02-01
Series:	Mathematics
Subjects:	inverse problems wave equations deep learning physics-informed neural networks radial basis functions
Online Access:	https://www.mdpi.com/2227-7390/13/5/725
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