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《Journal of Beijing University of Aeronautics and Astronautics(Social Sciences Edition)》 2009-04
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An Empirical Research on Financial Crisis Forecasting Based on BP Neural Network

HU Yan-jie,XIA Guo-ping(School of Economics and Management,Beijing University of Aeronautics and Astronautics,Beijing 100191,China)  
The research on financial distress prediction is significant to the economy.Taking into full account the status quo of the accounting information supply in China,this paper constructs a six-category warning index system including solvency,assets and liabilities management,profitability,growth,cash flow and the disclosure quality of accounting information.It compares the effects of early warning using BP Neural Network before and after the rank sum test, sampling the listed companies in Shenzhen and Shanghai Security Markets.The results show that BP neural network model has good application value to the warning for financial distress of China's listed companies.Especially,the accuracy of obtained classifying model is improved obviously after the rank sum test.
【CateGory Index】: F275.3
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