Wavelets based physics informed neural networks to solve non-linear differential equations

In this study, the applicability of physics informed neural networks using wavelets as an activation function is discussed to solve non-linear differential equations. One of the prominent equations arising in fluid dynamics namely Blasius viscous flow problem is solved. A linear coupled differential...

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Detalles Bibliográficos
Autores principales: Uddin, Ziya, Ganga, Sai, Asthana, Rishi, Ibrahim, Wubshet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9938906/
https://www.ncbi.nlm.nih.gov/pubmed/36807303
http://dx.doi.org/10.1038/s41598-023-29806-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9938906/
https://www.ncbi.nlm.nih.gov/pubmed/36807303
http://dx.doi.org/10.1038/s41598-023-29806-3

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