A Stochastic Intelligent Computing with Neuro-Evolution Heuristics for Nonlinear SITR System of Novel COVID-19 Dynamics

A Stochastic Intelligent Computing with Neuro-Evolution Heuristics for Nonlinear SITR System of Novel COVID-19 Dynamics

The present study aims to design stochastic intelligent computational heuristics for the numerical treatment of a nonlinear SITR system representing the dynamics of novel coronavirus disease 2019 (COVID-19). The mathematical SITR system using fractal parameters for COVID-19 dynamics is divided into...

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Bibliographic Details
Main Authors: Muhammad Umar, Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Muhammad Shoaib, Manoj Gupta, Yolanda Guerrero Sánchez
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Symmetry
Subjects:
coronavirus
SITR model
artificial neural networks
numerical Adams results
genetic algorithm
diseases
Online Access:https://www.mdpi.com/2073-8994/12/10/1628

Internet

https://www.mdpi.com/2073-8994/12/10/1628

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