Identification of partial differential equations from noisy data with integrated knowledge discovery and embedding using evolutionary neural networks
Identification of underlying partial differential equations (PDEs) for complex systems remains a formidable challenge. In the present study, a robust PDE identification method is proposed, demonstrating the ability to extract accurate governing equations under noisy conditions without prior knowledg...
Main Authors: | Hanyu Zhou, Haochen Li, Yaomin Zhao |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2024-03-01
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Series: | Theoretical and Applied Mechanics Letters |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2095034924000229 |
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