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A Heuristic Model for Predicting Bankruptcy

عنوان مقاله: A Heuristic Model for Predicting Bankruptcy
شناسه ملی مقاله: JR_IJFMA-2-5_001
منتشر شده در در سال 1396
مشخصات نویسندگان مقاله:

Ahmad Nasseri - University of Sistan and Baluchestan (Corresponding author)
Sajad Abdipour - PhD candidate in accounting, Islamic Azad University Kermanshah Branch
Shahoo Aghabeigzadeh - Faculty Member of the University of Marine Science and Maritime Chabahar
Hassan Yazdifar - The University of Salford

خلاصه مقاله:
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 ۱۰۸ 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  

کلمات کلیدی:
Bankruptcy, Prediction, Neural Network, Back-propagation, Kohonen network

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