New Neuro-Fuzzy Approach to Recession Prediction

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dc.contributor.authorMehdiyev, Nijat Sh.
dc.contributor.authorGuirimov, Babek G.
dc.contributor.authorAliyev, Rafig R.
dc.date.accessioned2026-02-06T18:28:23Z
dc.date.issued2010
dc.departmentDoğu Akdeniz Üniversitesi
dc.description5th International Conference on Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control -- SEP 02-04, 2009 -- Famagusta, CYPRUS
dc.description.abstractWith 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
dc.identifier.endpage+
dc.identifier.isbn978-1-4244-3429-9
dc.identifier.scopus2-s2.0-77950503145
dc.identifier.scopusqualityN/A
dc.identifier.startpage278
dc.identifier.urihttps://hdl.handle.net/11129/10888
dc.identifier.wosWOS:000287219100069
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIEEE
dc.relation.ispartof2009 Fifth International Conference on Soft Computing, Computing With Words and Perceptions in System Analysis, Decision and Control
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260204
dc.subjectrecession
dc.subjectprediction models
dc.subjectFuzzy Recurrent Neural Network
dc.subjectfinancial variables
dc.titleNew Neuro-Fuzzy Approach to Recession Prediction
dc.typeConference Object

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