A Heuristic Model for Predicting Bankruptcy
(ندگان)پدیدآور
Nasseri, AhmadAbdipour, SajadAghabeigzadeh, ShahooYazdifar, Hassanنوع مدرک
TextOriginal Article
زبان مدرک
Englishچکیده
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
کلید واژگان
BankruptcyPrediction
Neural Network
Back-propagation
Kohonen network
شماره نشریه
5تاریخ نشر
2017-04-011396-01-12
ناشر
Iranian Financial Engineering Association(IFEA)سازمان پدید آورنده
University of Sistan and Baluchestan (Corresponding author)PhD candidate in accounting, Islamic Azad University Kermanshah Branch
Faculty Member of the University of Marine Science and Maritime Chabahar
The University of Salford




