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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)

First Author: Yu L

Attributed to: Combining stem cell science and tissue engineering to study the development and repair of human skeletal tissue funded by BBSRC

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

Volume: 9

Parent Publication: PloS one

Issue: 6

ISSN: 1932-6203