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Intelligent computing with Levenberg–Marquardt artificial neural networks for nonlinear system of COVID-19 epidemic model for future generation disease control
The aim of this work is to design an intelligent computing paradigm through Levenberg–Marquardt artificial neural networks (LMANNs) for solving the mathematical model of Corona virus disease 19 (COVID-19) propagation via human to human interaction. The model is represented with systems of nonlinear...
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| Опубликовано в: : | Eur Phys J Plus |
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| Главные авторы: | , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Springer Berlin Heidelberg
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7682771/ https://ncbi.nlm.nih.gov/pubmed/33251082 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1140/epjp/s13360-020-00910-x |
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