Time series analysis of human brucellosis in mainland China by using Elman and Jordan recurrent neural networks

BACKGROUND: Establishing epidemiological models and conducting predictions seems to be useful for the prevention and control of human brucellosis. Autoregressive integrated moving average (ARIMA) models can capture the long-term trends and the periodic variations in time series. However, these model...

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Detalles Bibliográficos
Autores principales: Wu, Wei, An, Shu-Yi, Guan, Peng, Huang, De-Sheng, Zhou, Bao-Sen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6518525/
https://www.ncbi.nlm.nih.gov/pubmed/31088391
http://dx.doi.org/10.1186/s12879-019-4028-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6518525/
https://www.ncbi.nlm.nih.gov/pubmed/31088391
http://dx.doi.org/10.1186/s12879-019-4028-x

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