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...
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| Автори: | , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Elsevier
2024-03-01
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| Серія: | Theoretical and Applied Mechanics Letters |
| Предмети: | |
| Онлайн доступ: | http://www.sciencedirect.com/science/article/pii/S2095034924000229 |
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