Modeling epidemics: neural network based on data and SIR-model

DOI10.1134/s096554252310007xzbMath1528.92039OpenAlexW4388718768MaRDI QIDQ6148214

N. Yu. Zyatkov, Sergey I. Kabanikhin, Olga I. Krivorotko

Publication date: 11 January 2024

Published in: Computational Mathematics and Mathematical Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1134/s096554252310007x

zbMATH Keywords

predictiontime seriesrecurrent neural networksepidemiologymachine learningdata processingdeep learningCOVID-19fully connected neural networksforcasting

Mathematics Subject Classification ID

Epidemiology (92D30) Artificial neural networks and deep learning (68T07)

Cites Work

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• Discovering governing equations from data by sparse identification of nonlinear dynamical systems
• The dynamics of “imperial tails” on the example of coronavirus infection
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