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A new prediction approach of the COVID-19 virus pandemic behavior with a hybrid ensemble modular nonlinear autoregressive neural network

We describe in this paper an approach for predicting the COVID-19 time series in the world using a hybrid ensemble modular neural network, which combines nonlinear autoregressive neural networks. At the level of the modular neural network, which is formed with several modules (ensembles in this case...

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Detalles Bibliográficos
Autores principales: Melin, Patricia, Monica, Julio Cesar, Sanchez, Daniela, Castillo, Oscar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7675021/
https://www.ncbi.nlm.nih.gov/pubmed/33230389
http://dx.doi.org/10.1007/s00500-020-05452-z

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