Cargando…
Multitask learning and nonlinear optimal control of the COVID-19 outbreak: A geometric programming approach()
We propose a multitask learning approach to learn the parameters of a compartmental discrete-time epidemic model from various data sources and use it to design optimal control strategies of human-mobility restrictions that both curb the epidemic and minimize the economic costs associated with implem...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Ltd.
2021
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8133409/ https://www.ncbi.nlm.nih.gov/pubmed/34040494 http://dx.doi.org/10.1016/j.arcontrol.2021.04.014 |