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Information Journal Paper

Title

APPLICATION OF "ARTIFICIAL NEURAL NETWORK MODELS" IN PREDICTING ECONOMIC BANKRUPTCY OF THE REGISTERED CORPORATIONS IN STOCK MARKET

Pages

  11-44

Abstract

 “Artificial Neural Network” is known as one of the most advanced “BANKRUPTCY Prediction Models". Based on this research paper, the main structure of three - and four - layer PERCEPTRON models for BANKRUPTCY prediction had led to same models; however, three-layer network has benefited from more predictive power than four –layer network.In comparison with other models, applying NEURAL NETWORK MODELs can improve the potentials of financial managements to stand against economic fluctuations and BANKRUPTCY.Through this paper, the economic BANKRUPTCY of registered corporations in Tehran Stock Market during 2006 - 2007 would be predicted and BANKRUPTCY trend of above- mentioned corporations between 1991- 2007 have been presented analytically. As a result of defining economic policies, the trend of economic BANKRUPTCY would be remarkably increased through 2006. A year later, 2007, due to the compatibility of corporations with present situations, the above - mentioned trend would be adjusted.

Cites

References

Cite

APA: Copy

KOMIJANI, AKBAR, & SAADATFAR, J.. (2007). APPLICATION OF "ARTIFICIAL NEURAL NETWORK MODELS" IN PREDICTING ECONOMIC BANKRUPTCY OF THE REGISTERED CORPORATIONS IN STOCK MARKET. JOURNAL OF ECONOMIC ESSAYS, 3(6), 11-44. SID. https://sid.ir/paper/108993/en

Vancouver: Copy

KOMIJANI AKBAR, SAADATFAR J.. APPLICATION OF "ARTIFICIAL NEURAL NETWORK MODELS" IN PREDICTING ECONOMIC BANKRUPTCY OF THE REGISTERED CORPORATIONS IN STOCK MARKET. JOURNAL OF ECONOMIC ESSAYS[Internet]. 2007;3(6):11-44. Available from: https://sid.ir/paper/108993/en

IEEE: Copy

AKBAR KOMIJANI, and J. SAADATFAR, “APPLICATION OF "ARTIFICIAL NEURAL NETWORK MODELS" IN PREDICTING ECONOMIC BANKRUPTCY OF THE REGISTERED CORPORATIONS IN STOCK MARKET,” JOURNAL OF ECONOMIC ESSAYS, vol. 3, no. 6, pp. 11–44, 2007, [Online]. Available: https://sid.ir/paper/108993/en

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