Title of article :
A Heuristic Model for Predicting Bankruptcy
Author/Authors :
Nasseri ، Ahmad University of Sistan and Baluchestan , Abdipour ، Sajad Islamic Azad University, Kermanshah Branch , Aghabeigzadeh ، Shahoo University of Marine Science and Maritime , Yazdifar ، Hassan University of Salford
Abstract :
Bankruptcy prediction is one of the major business classification problems. The main purpose of this study is to investigate Kohonen self-organizing feature map in term of performance accuracy in the area of bankruptcy prediction. A sample of 108 firms listed in Tehran Stock Exchange is used for the study. Our results confirm that Kohonen network is a robust model for predicting bankruptcy in today’s fast changing business environment
Keywords :
Bankruptcy , Prediction , Neural Network , Back , propagation , Kohonen network
Journal title :
International Journal of Finance and Managerial Accounting
Journal title :
International Journal of Finance and Managerial Accounting
