Article

A hybrid approach to predict COVID-19 cases using neural networks and inverse problem

2022-05-17

Abstract excerpt

<h4>ABSTRACT</h4> We derive a novel hybrid approach, a combination of neural networks and inverse problem, in order to forecast COVID-19 cases, and more generally any infectious disease. For this purpose, we extract a second order nonlinear differential equation for the total confirmed cases from a SIR-like model. That differential equation is the key factor of the present study. The neural network and inverse pro...

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Literature Corpus work: a473af12-a3ae-53ea-90ab-3a00e5777ec8
DOI: 10.1101/2022.05.17.22275205

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