ON COVID-19 MATHEMATICAL MODEL: THEORETICAL AND COMPUTATIONAL ANALYSIS USING ARTIFICIAL NEURAL NETWORKS

Abstract

A COVID-19 mathematical model with fractional order derivative is investigated.The model is solved using the Fractional Differential Transform Method (FDTM) to obtaina convergent semi-analytical solution. Also, the considered mathematical model is thenstudied by a sophisticated artificial neural network (ANN) architecture. This multi-layerednetwork, trained via the Levenberg-Marquardt algorithm is used to perform robust datadrivenvalidation across three strategic operational cases. Some graphical illustrations aregiven.