A physics-informed neural network to model COVID-19 infection and hospitalization scenarios

In this paper, we replace the standard numerical approach of estimating parameters in a mathematical model using numerical solvers for differential equations with a physics-informed neural network (PINN). This neural network requires a sequence of time instances as direct input of the network and th...

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Detalles Bibliográficos
Autores principales: Berkhahn, Sarah, Ehrhardt, Matthias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9612630/
https://www.ncbi.nlm.nih.gov/pubmed/36320680
http://dx.doi.org/10.1186/s13662-022-03733-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9612630/
https://www.ncbi.nlm.nih.gov/pubmed/36320680
http://dx.doi.org/10.1186/s13662-022-03733-5

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