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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...

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Detalles Bibliográficos
Autores principales: Li, Shirong, Feng, Xinlong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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