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...

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Detalles Bibliográficos
Autores principales: Matveeva, Alexandra, Leonenko, Vasiliy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Published by Elsevier B.V. 2022
Materias:
Article
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

Internet

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

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