An Importance Sampling Method for Generating Optimal Interpolation Points in Training Physics-Informed Neural Networks
The application of machine learning and artificial intelligence to solve scientific challenges has significantly increased in recent years. A remarkable development is the use of Physics-Informed Neural Networks (PINNs) to solve Partial Differential Equations (PDEs) numerically. However, current PIN...
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Main Authors: | Hui Li, Yichi Zhang, Zhaoxiong Wu, Zhe Wang, Tong Wu |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
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Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/13/1/150 |
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