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).
Style de citation Chicago (17e éd.)Yu, Lijing, Lingling Zhou, Li Tan, Hongbo Jiang, Ying Wang, Sheng Wei, et 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.
Style de citation MLA (8e éd.)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.