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Application of Gaussian process regression as a surrogate modeling method to assess the dynamics of COVID-19 propagation
In this research, we aimed to assess the possibility of using surrogate modeling methods to replace time-consuming calculations related to modeling of COVID-19 dynamics. The Gaussian process regression (GPR) was used as a surrogate to replace detailed simulations by a COVID-19 multiagent model. Expe...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Published by Elsevier B.V.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9682405/ https://www.ncbi.nlm.nih.gov/pubmed/36437869 http://dx.doi.org/10.1016/j.procs.2022.11.018 |