The Social Sciences

Year: 2016
Volume: 11
Issue: 28
Page No. 6818 - 6825

Predicting of the Financial Crisis by Using the Financial Ratios and Presentation of Sufficient Prediction with Approach the Artificial Neural Networks and Fuzzy Nero

Authors : Najmeh Rooh Bakhsh, Ali Yaghoubipoor and Mohammad Hossein Nekoue

Abstract: This study provide a comprehensive definition of financial crisis, using financial ratios and Artificial Intelligence techniques (Artificial Neural Network and Fuzzy Nero) model to predict the financial crisis of listed companies in Tehran Stock Exchange (automotive and parts manufacturing) are extracted. The aim of the present study and practical perspective on the nature and methods of causal and quasi-experimental research is considered. In this study, 126 companies-since the sample was taken and the required information was extracted from the financial statements of these companies. In this regard, MATLAB and SPSS Software was used to test hypotheses and build models . Findings indicate that the size of financial ratios to predict financial crises management is a significant relationship. Also Nrvfazy 85% confidence rule extracted from the model were estimated.

How to cite this article:

Najmeh Rooh Bakhsh, Ali Yaghoubipoor and Mohammad Hossein Nekoue, 2016. Predicting of the Financial Crisis by Using the Financial Ratios and Presentation of Sufficient Prediction with Approach the Artificial Neural Networks and Fuzzy Nero. The Social Sciences, 11: 6818-6825.

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