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Optimal control by deep learning techniques and its applications on epidemic models.
- Source :
-
Journal of Mathematical Biology . Mar2023, Vol. 86 Issue 3, p1-26. 26p. - Publication Year :
- 2023
-
Abstract
- We represent the optimal control functions by neural networks and solve optimal control problems by deep learning techniques. Adjoint sensitivity analysis is applied to train the neural networks embedded in differential equations. This method can not only be applied in classic epidemic control problems, but also in epidemic forecasting, discovering unknown mechanisms, and the ideas behind can give new insights to traditional mathematical epidemiological problems. [ABSTRACT FROM AUTHOR]
- Subjects :
- *DEEP learning
*EPIDEMICS
*DIFFERENTIAL equations
*SENSITIVITY analysis
Subjects
Details
- Language :
- English
- ISSN :
- 03036812
- Volume :
- 86
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- Journal of Mathematical Biology
- Publication Type :
- Academic Journal
- Accession number :
- 161516068
- Full Text :
- https://doi.org/10.1007/s00285-023-01873-0