A Stochastic Intelligent Computing with Neuro-Evolution Heuristics for Nonlinear SITR System of Nove...
A Stochastic Intelligent Computing with Neuro-Evolution Heuristics for Nonlinear SITR System of Novel COVID-19 Dynamics
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
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 four classes; that is, susceptible (S), infected (...
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A Stochastic Intelligent Computing with Neuro-Evolution Heuristics for Nonlinear SITR System of Novel COVID-19 Dynamics
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TN_cdi_proquest_journals_2550273230
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2550273230
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ISSN
2073-8994
E-ISSN
2073-8994
DOI
10.3390/sym12101628
