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International Journal of Engineering، جلد ۳۰، شماره ۱۲، صفحات ۱۸۷۹-۱۸۸۴
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| عنوان فارسی |
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| چکیده فارسی مقاله |
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| کلیدواژه‌های فارسی مقاله |
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| عنوان انگلیسی |
An Adaptive Fuzzy Neural Network Model for Bankruptcy Prediction of Listed Companies on the Tehran Stock Exchange |
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| چکیده انگلیسی مقاله |
Nowadays, prediction of corporate bankruptcy is one of the most important issues which have received great attentions among academia and practitioners. Although several studies have been accomplished in the field of bankruptcy prediction, less attention has been devoted for proposing a systematic approach based on fuzzy neural networks. The present study proposes fuzzy neural networks to predict bankruptcy of the listed companies in the Tehran stock exchange. Four input variables including growth, profitability, productivity and asset quality were used for prediction purpose. Moreover, the Altman's Z'score is used as the output variable. The results reveal that the proposed fuzzy neural network model has a high performance for the bankruptcy prediction of the companies. |
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| کلیدواژه‌های انگلیسی مقاله |
Bankruptcy, prediction, Fuzzy Neural Network |
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| نویسندگان مقاله |
Maedeh Motameni |
, Qaemshahr Branch, Islamic Azad University,Qaemshah
Amir Hossein Azadnia |
, Ayatollah Amoli Branch, Islamic Azad University,Am
Ali Siahi |
, Ayatollah Amoli Branch, Islamic Azad University,Am
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| نشانی اینترنتی |
http://www.ije.ir/article_73078_904e9a5dac866cb51df25a54cbda9256.pdf |
| فایل مقاله |
اشکال در دسترسی به فایل - ./files/site1/rds_journals/409/article-409-2061959.pdf |
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| زبان مقاله منتشر شده |
en |
| موضوعات مقاله منتشر شده |
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