Optimization of Coronavirus Pandemic Model Through Artificial Intelligence
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Date
2023
Authors
Alqarni, Manal M.
Nasir, Arooj
Baleanu, Dumitru
Raza, Ali
Cheema, Tahir Nawaz
Ahmed, Nauman
Rafiq, Muhammad
Fatima, Umbreen
Mahmoud, Emad E.
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Abstract
Artificial intelligence is demonstrated by machines, unlike the natural intelligence displayed by animals, including humans. Artificial intelligence research has been defined as the field of study of intelligent agents,which refers to any system that perceives its environment and takes actions that maximize its chance of achieving its goals. The techniques of intelligent computing solve many applications of mathematical modeling. The researchworkwas designed via a particularmethod of artificial neural networks to solve the mathematical model of coronavirus. The representation of the mathematical model is made via systems of nonlinear ordinary differential equations. These differential equations are established by collecting the susceptible, the exposed, the symptomatic, super spreaders, infection with asymptomatic, hospitalized, recovery, and fatality classes. The generation of the coronavirus model's dataset is exploited by the strength of the explicit Runge Kutta method for different countries like India, Pakistan, Italy, and many more. The generated dataset is approximately used for training, validation, and testing processes for each cyclic update in Bayesian Regularization Backpropagation for the numerical treatment of the dynamics of the desired model. The performance and effectiveness of the designed methodology are checked through mean squared error, error histograms, numerical solutions, absolute error, and regression analysis.
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Keywords
Analysis, Artificial Techniques, Coronavirus Model
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Citation
Alqarni, Manal M.;...et.al. "Optimization of Coronavirus Pandemic Model Through Artificial Intelligence", Computers, Materials and Continua, Vol.74, No.3 pp.6807-6822.
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Source
Computers, Materials and Continua
Volume
74
Issue
3
Start Page
6807
End Page
6822