Numerical Investigations through ANNs for Solving COVID-19 Model.
Int J Environ Res Public Health
; 18(22)2021 11 20.
Article
in English
| MEDLINE | ID: covidwho-1524007
ABSTRACT
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.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Neural Networks, Computer
/
COVID-19
Type of study:
Prognostic study
Limits:
Humans
Language:
English
Year:
2021
Document Type:
Article
Affiliation country:
Ijerph182212192
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