DocumentCode
3076329
Title
New neuro-fuzzy approach to recession prediction
Author
Mehdiyev, Nijat Sh ; Guirimov, Babek G. ; Aliyev, Rafig R.
Author_Institution
Bus. Informaton Syst., Univ. of Siegen, Siegen, Germany
fYear
2009
fDate
2-4 Sept. 2009
Firstpage
1
Lastpage
4
Abstract
With the onset of the global financial crisis in September 2008 some economical terms become most used words and doubtless "Recession" is the most popular among them. The purpose of this paper is to redefine the term "Recession" precisely, to identify the indicators of recession, to analyze historical progress and to give different more effective approaches to predicting recession using US recession data.
Keywords
economic cycles; financial data processing; fuzzy neural nets; global financial crisis; neuro-fuzzy approach; recession prediction; Earthquakes; Economic forecasting; Economic indicators; Educational institutions; Fuzzy neural networks; Macroeconomics; Petroleum; Predictive models; Reactive power; Recurrent neural networks; Fuzzy Recurrent Neural Network; financial variables; prediction models; recession;
fLanguage
English
Publisher
ieee
Conference_Titel
Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control, 2009. ICSCCW 2009. Fifth International Conference on
Conference_Location
Famagusta
Print_ISBN
978-1-4244-3429-9
Electronic_ISBN
978-1-4244-3428-2
Type
conf
DOI
10.1109/ICSCCW.2009.5379422
Filename
5379422
Link To Document