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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2022
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| 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 |