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Dynamic Weight Strategy of Physics-Informed Neural Networks for the 2D Navier–Stokes Equations
When PINNs solve the Navier–Stokes equations, the loss function has a gradient imbalance problem during training. It is one of the reasons why the efficiency of PINNs is limited. This paper proposes a novel method of adaptively adjusting the weights of loss terms, which can balance the gradients of...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497516/ https://www.ncbi.nlm.nih.gov/pubmed/36141140 http://dx.doi.org/10.3390/e24091254 |