अमूर्त

Comparison of financial distress prediction model on real estate listed companies

Rong Li, Wang Jiuling


Take real estate listed companies,for example, we studied the internal connection between the companies marked by STand their financial indexesin the three years before the occurrence of financial distress, wemodel the financial crisis of early warning by statistical (Logistic Model) and artificial intelligence (BP neural networks, support vector machine model). Finally we made a comparison to the predict theaccuracy of the classification and the applicability of the three models. Empirical analysis shows that theaccuracy of support vector machine model is the highest, logisticmodel reflected the lowest accuracy, and the BP neural network stood in the middle. Based on the characteristics of the three types of models, wemade some researches ontheir application


में अनुक्रमित

  • कैस
  • गूगल ज्ञानी
  • जे गेट खोलो
  • चीन राष्ट्रीय ज्ञान अवसंरचना (सीएनकेआई)
  • उद्धरण कारक
  • ब्रह्मांड IF
  • रिसर्च जर्नल इंडेक्सिंग की निर्देशिका (डीआरजेआई)
  • गुप्त खोज इंजन लैब्स
  • विद्वान लेख प्रभाव कारक (SAJI))
  • आईसीएमजेई

और देखें

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