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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...
Autores principales: | Farooq, Junaid, Bazaz, Mohammad Abid |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2020
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Materias: | |
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 |
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