THE COMPARISON OF FINANCIAL CRISIS PREDICTION STRENGTH OF DIFFERENT ARTIFICIAL INTELLIGENCE TECHNIQUES

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POURZAMANI ZAHRA; KALANTARI HASSAN

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Paper Information

Journal: The Financial Accounting and Auditing Researches Year:2013 | Volume:5 | Issue:17 Page(s): 33-64

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Title

THE COMPARISON OF FINANCIAL CRISIS PREDICTION STRENGTH OF DIFFERENT ARTIFICIAL INTELLIGENCE TECHNIQUES

Author(s)

POURZAMANI ZAHRA | KALANTARI HASSAN | Issue Writer Certificate

Keywords

BANKRUPTCY PREDICTIONQ2

LINEAR GENETIC ALGORITHMSQ2

NONLINEAR GENETIC ALGORITHMQ2

NEURAL NETWORKQ2

Abstract

Rapid technological advances and vast environmental changes, leading to increasing competition and limit access to benefits and likely to suffer from financial crisis has increased. Purpose of this study is investigating financial crisis prediction strength of different artificial intelligence techniques (linear and NONLINEAR GENETIC ALGORITHM and NEURAL NETWORK). Based on available information and statistics, of all companies listed in Tehran Stock Exchange, 72 companies have been subject to Article 141 trade law and 72 companies have not been subject to this Article was elected.Results of Mc-Nemar test for genetic algorithms techniques and NEURAL NETWORK showed that there are not significant differences between linear and NONLINEAR GENETIC ALGORITHMs with NEURAL NETWORK. Although the predictive accuracy of NONLINEAR GENETIC ALGORITHM (90%) and LINEAR GENETIC ALGORITHMS (80%) is more than of the NEURAL NETWORK (70%) but this difference is not statistically significant.

Cites

COMPARING THE ABILITY OF INTERNAL AND COMPARATIVE DATA ANALYSIS IN NON-LINEAR GENETIC ALGORITHM IN PREDICTING CORPORATE PROFITABILITY

References

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APA: Copy

POURZAMANI, ZAHRA, & KALANTARI, HASSAN. (2013). THE COMPARISON OF FINANCIAL CRISIS PREDICTION STRENGTH OF DIFFERENT ARTIFICIAL INTELLIGENCE TECHNIQUES. THE FINANCIAL ACCOUNTING AND AUDITING RESEARCHES, 5(17), 33-64. SID. https://sid.ir/paper/198090/en

Vancouver: Copy

POURZAMANI ZAHRA, KALANTARI HASSAN. THE COMPARISON OF FINANCIAL CRISIS PREDICTION STRENGTH OF DIFFERENT ARTIFICIAL INTELLIGENCE TECHNIQUES. THE FINANCIAL ACCOUNTING AND AUDITING RESEARCHES[Internet]. 2013;5(17):33-64. Available from: https://sid.ir/paper/198090/en

IEEE: Copy

ZAHRA POURZAMANI, and HASSAN KALANTARI, “THE COMPARISON OF FINANCIAL CRISIS PREDICTION STRENGTH OF DIFFERENT ARTIFICIAL INTELLIGENCE TECHNIQUES,” THE FINANCIAL ACCOUNTING AND AUDITING RESEARCHES, vol. 5, no. 17, pp. 33–64, 2013, [Online]. Available: https://sid.ir/paper/198090/en

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