Proceedings of the 2014 International Conference on Future Computer and Communication Engineering

Hidden Markov Model for Predicting the Turning Points of GDP Fluctuation

Authors
Cuiping Leng, Shuangcheng Wang
Corresponding Author
Cuiping Leng
Available Online March 2014.
DOI
10.2991/icfcce-14.2014.1How to use a DOI?
Keywords
GDP, turning point, hidden Markov model, dynamic Bayesian network
Abstract

At present, the methods of predicting the turning points of GDP fluctuation is difficult to choose suitable influence indexes, and emphasize static function dependency or dynamic propagation of time series so that the static and dynamic information can not be consistently combined. In this paper, hidden Markov model is introduced for predicting the turning points of GDP fluctuation. The real GDP data of China from 1990 to 2013 is used for modeling and the experimental results show that hidden Markov model has good practicability and reliability.

Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2014 International Conference on Future Computer and Communication Engineering
Series
Advances in Intelligent Systems Research
Publication Date
March 2014
ISBN
978-94-6252-005-9
ISSN
1951-6851
DOI
10.2991/icfcce-14.2014.1How to use a DOI?
Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Cuiping Leng
AU  - Shuangcheng Wang
PY  - 2014/03
DA  - 2014/03
TI  - Hidden Markov Model for Predicting the Turning Points of GDP Fluctuation
BT  - Proceedings of the 2014 International Conference on Future Computer and Communication Engineering
PB  - Atlantis Press
SP  - 1
EP  - 3
SN  - 1951-6851
UR  - https://doi.org/10.2991/icfcce-14.2014.1
DO  - 10.2991/icfcce-14.2014.1
ID  - Leng2014/03
ER  -