Multiple Ensemble Neural Network Models with Fuzzy Response Aggregation for Predicting COVID-19 Time Series: The Case of Mexico

In this paper, a multiple ensemble neural network model with fuzzy response aggregation for the COVID-19 time series is presented. Ensemble neural networks are composed of a set of modules, which are used to produce several predictions under different conditions. The modules are simple neural networ...

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Detalles Bibliográficos
Autores principales: Melin, Patricia, Monica, Julio Cesar, Sanchez, Daniela, Castillo, Oscar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7349072/
https://www.ncbi.nlm.nih.gov/pubmed/32575622
http://dx.doi.org/10.3390/healthcare8020181

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7349072/
https://www.ncbi.nlm.nih.gov/pubmed/32575622
http://dx.doi.org/10.3390/healthcare8020181

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