A novel adaptive deep learning model of Covid-19 with focus on mortality reduction strategies

We employ deep learning to propose an Artificial Neural Network (ANN) based and data stream guided real-time incremental learning algorithm for parameter estimation of a non-intrusive, intelligent, adaptive and online analytical model of Covid-19 disease. Modeling and simulation of such problems pos...

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Detalles Bibliográficos
Autores principales: Farooq, Junaid, Bazaz, Mohammad Abid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7373073/
https://www.ncbi.nlm.nih.gov/pubmed/32834586
http://dx.doi.org/10.1016/j.chaos.2020.110148

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7373073/
https://www.ncbi.nlm.nih.gov/pubmed/32834586
http://dx.doi.org/10.1016/j.chaos.2020.110148

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