ArticleInternational journal of environmental research and public health2021
Numerical Investigations through ANNs for Solving COVID-19 Model.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- A novel neural network model with distributed evolutionary approach for big data classification.Scientific reports · 2023Article
- A mathematical model of coronavirus transmission by using the heuristic computing neural networks.Engineering analysis with boundary elements · 2023Article
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Authors and funding
7 authors.
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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.
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