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

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

Abstract 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, the...

Full description

Bibliographic Details
Main Authors: Wei Wu, Shu-Yi An, Peng Guan, De-Sheng Huang, Bao-Sen Zhou
Format: Article
Language:English
Published: BMC 2019-05-01
Series:BMC Infectious Diseases
Subjects:
Time series analysis
Human brucellosis
Recurrent neural network
Online Access:http://link.springer.com/article/10.1186/s12879-019-4028-x

Internet

http://link.springer.com/article/10.1186/s12879-019-4028-x

Similar Items