DocumentCode
527438
Title
Notice of Retraction
A hybrid intelligent early warning system for predicting economic crises: The case of China
Author
Dongwei Su ; Xingxing He
Author_Institution
Coll. of Econ., Jinan Univ., Guangzhou, China
Volume
3
fYear
2010
fDate
10-12 Aug. 2010
Firstpage
1483
Lastpage
1487
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
This paper combines artificial neural networks (ANN), fuzzy optimization and time-series econometric models in one unified framework to form a hybrid intelligent early warning system (EWS) for predicting economic crises. Using quarterly data on 12 macroeconomic and financial variables for the Chinese economy during 1999 and 2008, the paper finds that the hybrid model possesses strong predictive power and the likelihood of economic crises in China during 2009 and 2010 remains high.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
This paper combines artificial neural networks (ANN), fuzzy optimization and time-series econometric models in one unified framework to form a hybrid intelligent early warning system (EWS) for predicting economic crises. Using quarterly data on 12 macroeconomic and financial variables for the Chinese economy during 1999 and 2008, the paper finds that the hybrid model possesses strong predictive power and the likelihood of economic crises in China during 2009 and 2010 remains high.
Keywords
econometrics; financial data processing; fuzzy set theory; neural nets; optimisation; time series; artificial neural networks; economic crisis prediction; fuzzy optimization; hybrid intelligent early warning system; time-series econometric models; Artificial neural networks; Biological system modeling; Economic indicators; Forecasting; Optimization; Predictive models; Computational intelligence; artificial neural networks; early warning system; economic crises; fuzzy optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location
Yantai
Print_ISBN
978-1-4244-5958-2
Type
conf
DOI
10.1109/ICNC.2010.5582763
Filename
5582763
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