Yu, L., Zhou, L., Tan, L., Jiang, H., Wang, Y., Wei, S., & Nie, S. (2014). Application of a new hybrid model with seasonal auto-regressive integrated moving average (ARIMA) and nonlinear auto-regressive neural network (NARNN) in forecasting incidence cases of HFMD in Shenzhen, China. Public Library of Science (PLoS).
Cita Chicago Style (17a ed.)Yu, Lijing, Lingling Zhou, Li Tan, Hongbo Jiang, Ying Wang, Sheng Wei, y Shaofa Nie. Application of a New Hybrid Model with Seasonal Auto-regressive Integrated Moving Average (ARIMA) and Nonlinear Auto-regressive Neural Network (NARNN) in Forecasting Incidence Cases of HFMD in Shenzhen, China. Public Library of Science (PLoS), 2014.
Cita MLA (8a ed.)Yu, Lijing, et al. Application of a New Hybrid Model with Seasonal Auto-regressive Integrated Moving Average (ARIMA) and Nonlinear Auto-regressive Neural Network (NARNN) in Forecasting Incidence Cases of HFMD in Shenzhen, China. Public Library of Science (PLoS), 2014.