INTEGRATING NEURAL NETWORK AND COLONIAL COMPETITIVE ALGORITHM: A NEW APPROACH FOR PREDICTING BANKRUPTCY IN TEHRAN SECURITY EXCHANGE
Journal Title: Asian Economic and Financial Review - Year 2013, Vol 3, Issue 11
Abstract
Bankruptcy filings are as high today as ever, calling into question the efficacy of existing bankruptcy prediction models. This paper tries to provide an alternative for bankruptcy prediction by integrated Multi Layered Perceptron with Imperialist Competitive Algorithm (MLP-ICA) and Kohonen self organizing map. Research sample consist of 70 bankrupts and non-bankrupt company in 2001-2009 and in listed firms of Tehran Stock Exchange. Results indicate that MLP-ICA model outperform Kohonen self organizing map.
Authors and Affiliations
Sajad Abdipour| M.A in accounting, USB university, Ahmad Nasseri| P.H.D in accounting, USB university, Mojtaba Akbarpour| M.A in accounting, USB university, Hossein Parsian| M.A in accounting, Raja university, Shahrzad Zamani| M.A in accounting, USB university
Keywords
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- EP ID EP1977
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