Numerical Investigations through ANNs for Solving COVID-19 Model

The current investigations of the COVID-19 spreading model are presented through the artificial neuron networks (ANNs) with training of the Levenberg-Marquardt backpropagation (LMB), i.e., ANNs-LMB. The ANNs-LMB scheme is used in different variations of the sample data for training, validation, and...

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Autores principales:	Muhammad Umar, Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Shumaila Javeed, Hijaz Ahmad, Sayed K. Elagen, Ahmed Khames
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	COVID-19 spreading model artificial neural networks Levenberg-Marquardt backpropagation reference dataset numerical results Medicine R
Acceso en línea:	https://doaj.org/article/23c1381115464cf180fb87e547c8c2c7
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id	oai:doaj.org-article:23c1381115464cf180fb87e547c8c2c7
record_format	dspace
spelling	oai:doaj.org-article:23c1381115464cf180fb87e547c8c2c72021-11-25T17:51:52ZNumerical Investigations through ANNs for Solving COVID-19 Model10.3390/ijerph1822121921660-46011661-7827https://doaj.org/article/23c1381115464cf180fb87e547c8c2c72021-11-01T00:00:00Zhttps://www.mdpi.com/1660-4601/18/22/12192https://doaj.org/toc/1661-7827https://doaj.org/toc/1660-4601The current investigations of the COVID-19 spreading model are presented through the artificial neuron networks (ANNs) with training of the Levenberg-Marquardt backpropagation (LMB), i.e., ANNs-LMB. The ANNs-LMB scheme is used in different variations of the sample data for training, validation, and testing with 80%, 10%, and 10%, respectively. The approximate numerical solutions of the COVID-19 spreading model have been calculated using the ANNs-LMB and compared viably using the reference dataset based on the Runge-Kutta scheme. The obtained performance of the solution dynamics of the COVID-19 spreading model are presented based on the ANNs-LMB to minimize the values of fitness on mean square error (M.S.E), along with error histograms, regression, and correlation analysis.Muhammad UmarZulqurnain SabirMuhammad Asif Zahoor RajaShumaila JaveedHijaz AhmadSayed K. ElagenAhmed KhamesMDPI AGarticleCOVID-19 spreading modelartificial neural networksLevenberg-Marquardt backpropagationreference datasetnumerical resultsMedicineRENInternational Journal of Environmental Research and Public Health, Vol 18, Iss 12192, p 12192 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	COVID-19 spreading model artificial neural networks Levenberg-Marquardt backpropagation reference dataset numerical results Medicine R
spellingShingle	COVID-19 spreading model artificial neural networks Levenberg-Marquardt backpropagation reference dataset numerical results Medicine R Muhammad Umar Zulqurnain Sabir Muhammad Asif Zahoor Raja Shumaila Javeed Hijaz Ahmad Sayed K. Elagen Ahmed Khames Numerical Investigations through ANNs for Solving COVID-19 Model
description	The current investigations of the COVID-19 spreading model are presented through the artificial neuron networks (ANNs) with training of the Levenberg-Marquardt backpropagation (LMB), i.e., ANNs-LMB. The ANNs-LMB scheme is used in different variations of the sample data for training, validation, and testing with 80%, 10%, and 10%, respectively. The approximate numerical solutions of the COVID-19 spreading model have been calculated using the ANNs-LMB and compared viably using the reference dataset based on the Runge-Kutta scheme. The obtained performance of the solution dynamics of the COVID-19 spreading model are presented based on the ANNs-LMB to minimize the values of fitness on mean square error (M.S.E), along with error histograms, regression, and correlation analysis.
format	article
author	Muhammad Umar Zulqurnain Sabir Muhammad Asif Zahoor Raja Shumaila Javeed Hijaz Ahmad Sayed K. Elagen Ahmed Khames
author_facet	Muhammad Umar Zulqurnain Sabir Muhammad Asif Zahoor Raja Shumaila Javeed Hijaz Ahmad Sayed K. Elagen Ahmed Khames
author_sort	Muhammad Umar
title	Numerical Investigations through ANNs for Solving COVID-19 Model
title_short	Numerical Investigations through ANNs for Solving COVID-19 Model
title_full	Numerical Investigations through ANNs for Solving COVID-19 Model
title_fullStr	Numerical Investigations through ANNs for Solving COVID-19 Model
title_full_unstemmed	Numerical Investigations through ANNs for Solving COVID-19 Model
title_sort	numerical investigations through anns for solving covid-19 model
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/23c1381115464cf180fb87e547c8c2c7
work_keys_str_mv	AT muhammadumar numericalinvestigationsthroughannsforsolvingcovid19model AT zulqurnainsabir numericalinvestigationsthroughannsforsolvingcovid19model AT muhammadasifzahoorraja numericalinvestigationsthroughannsforsolvingcovid19model AT shumailajaveed numericalinvestigationsthroughannsforsolvingcovid19model AT hijazahmad numericalinvestigationsthroughannsforsolvingcovid19model AT sayedkelagen numericalinvestigationsthroughannsforsolvingcovid19model AT ahmedkhames numericalinvestigationsthroughannsforsolvingcovid19model
_version_	1718411910740705280

Numerical Investigations through ANNs for Solving COVID-19 Model

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