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-Reference-Cited by-同舟云学术

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

Published:2014-06-03 Issue:6 Volume:9 Page:e98241
ISSN:1932-6203
Container-title:PLoS ONE
language:en
Short-container-title:PLoS ONE

Author:

Yu Lijing,Zhou Lingling,Tan Li,Jiang Hongbo,Wang Ying,Wei Sheng,Nie Shaofa

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

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