A mathematical model of coronavirus transmission by using the heuristic computing neural networks.

COVID-19 Nonlinear Numerical results Quarantine Runge-Kutta scheme SCGNNs Scaled conjugate gradient

Journal

Engineering analysis with boundary elements
ISSN: 0955-7997
Titre abrégé: Eng Anal Bound Elem
Pays: England
ID NLM: 101462251

Informations de publication

Date de publication:
Jan 2023
Historique:
received: 28 02 2022
revised: 23 10 2022
accepted: 27 10 2022
pubmed: 8 11 2022
medline: 8 11 2022
entrez: 7 11 2022
Statut: ppublish

Résumé

In this study, the nonlinear mathematical model of COVID-19 is investigated by stochastic solver using the scaled conjugate gradient neural networks (SCGNNs). The nonlinear mathematical model of COVID-19 is represented by coupled system of ordinary differential equations and is studied for three different cases of initial conditions with suitable parametric values. This model is studied subject to seven class of human population

Identifiants

pubmed: 36339085
doi: 10.1016/j.enganabound.2022.10.033
pii: S0955-7997(22)00397-6
pmc: PMC9618448
doi:

Types de publication

Journal Article

Langues

eng

Pagination

473-482

Informations de copyright

© 2022 Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

All authors describe that there are no potential conflicts of interest.

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Auteurs

Zulqurnain Sabir (Z)

Department of Mathematics and Statistics, Hazara University, Mansehra, Pakistan.

Adi Asmara (A)

Faculty of Teacher Training and Education, Mathematics Study Program, Universitas Muhammadiyah Bengkulu, Bengkulu, Indonesia.

Sanaullah Dehraj (S)

Department of Mathematics and Statistics, Quaid-e-Awam University of Engineering, Science and Technology, 67480 Nawabshah, Pakistan.

Muhammad Asif Zahoor Raja (MAZ)

Future Technology Research Center, National Yunlin University of Science and Technology, 123 University Road, Section 3, Douliou, Yunlin 64002, Taiwan.

Gilder Cieza Altamirano (GC)

Universidad Nacional Autónoma de Chota, Chota, Perú.

Soheil Salahshour (S)

Faculty of Engineering and Natural Sciences, Bahcesehir University, Istanbul, Turkey.

R Sadat (R)

Department of Mathematics, Zagazig Faculty of Engineering, Zagazig University, Egypt.

Mohamed R Ali (MR)

Center of Research, Faculty of Engineering and Technology, Future University in Egypt New Cairo, 11835, Egypt.

Classifications MeSH