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Comparison of an artificial neural network and Gompertz model for predicting the dynamics of deaths from COVID-19 in México
The present work is focused on modeling and predicting the cumulative number of deaths from COVID-19 in México by comparing an artificial neural network (ANN) with a Gompertz model applying multiple optimization algorithms for the estimation of coefficients and parameters, respectively. For the mode...
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| Pubblicato in: | Nonlinear Dyn |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Springer Netherlands
2021
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8090530/ https://ncbi.nlm.nih.gov/pubmed/33967393 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11071-021-06471-7 |
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