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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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| Publicat a: | BMC Infect Dis |
|---|---|
| Autors principals: | , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6518525/ https://ncbi.nlm.nih.gov/pubmed/31088391 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12879-019-4028-x |
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