Cargando…
Differential Neural Networks Prediction Using Slow and Fast Hybrid Learning: Application to Prognosis of Infectionsand Deaths of COVID-19 Dynamics
This essay discusses a potential method for predicting the behavior of various physical processes and uses the COVID-19 outbreak to demonstrate its applicability. This study assumes that the current data set reflects the output of a dynamic system that is governed by a nonlinear ordinary differentia...
Autores principales: | Poznyak, A., Chairez, I., Anyutin, A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10035488/ https://www.ncbi.nlm.nih.gov/pubmed/37359130 http://dx.doi.org/10.1007/s11063-023-11216-1 |
Ejemplares similares
-
Neural mass modeling of slow-fast dynamics of seizure initiation and abortion
por: Köksal Ersöz, Elif, et al.
Publicado: (2020) -
Hybrid predictive coding: Inferring, fast and slow
por: Tscshantz, Alexander, et al.
Publicado: (2023) -
Correction: Hybrid predictive coding: Inferring, fast and slow
Publicado: (2023) -
Slow dynamics in features of synchronized neural network responses
por: Haroush, Netta, et al.
Publicado: (2015) -
Fast-local and slow-global neural ensembles in the mouse brain
por: Delaney, Thomas J., et al.
Publicado: (2023)