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 (2014)

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1371/journal.pone.0098241

PubMed Identifier: 24893000

Publication URI: http://europepmc.org/abstract/MED/24893000

Type: Journal Article/Review

Parent Publication: PLoS ONE

Issue: 6

ISSN: 1932-6203