• DocumentCode
    2103150
  • Title

    A Study of Corporate Financial Crisis Prediction System: Based on BP Artificial Neural Network

  • Author

    Zhao, Xin

  • Author_Institution
    Sch. of Manage., Zhejiang Univ., Hangzhou
  • fYear
    2008
  • fDate
    21-22 Dec. 2008
  • Firstpage
    78
  • Lastpage
    81
  • Abstract
    Financial crisis is fatal to all companies. So, it is very important to establish a financial crisis prediction system for each company to resolve latent problems before they emerge. However, artificial neural network (ANN) offers an approach to computation that is different from conventional analytic methods. In this text, we construct a BP neural network model to predict the financial crisis of companies with the samples from Shanghai stock exchange and Shenzhen stock exchange. And it is proved that the model is appropriate.
  • Keywords
    backpropagation; corporate modelling; financial management; neural nets; stock markets; BP artificial neural network; Shanghai stock exchange; Shenzhen stock exchange; corporate financial crisis prediction system; Artificial neural networks; Biological neural networks; Costs; Hopfield neural networks; Humans; Nervous system; Neural networks; Neurons; Recurrent neural networks; Stock markets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application Workshops, 2008. IITAW '08. International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3505-0
  • Type

    conf

  • DOI
    10.1109/IITA.Workshops.2008.229
  • Filename
    4731885