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
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;
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
DOI :
10.1109/ICSCCW.2009.5379422
