• DocumentCode
    3488544
  • Title

    Constructing the Model of Enterprise Financial Crisis with Principal Component Analysis and ANN

  • Author

    Zhang Xi-shuan

  • Author_Institution
    Sch. of Econ. & Manage., Henan Polytech. Univ., Jiaozuo, China
  • fYear
    2010
  • fDate
    7-9 Nov. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The paper studies the application of principal component analysis and ANN (Artificial Neural Networks) for pre-warning of enterprise financial crisis, analyzes the factors of financial crisis, and constructs the model of the enterprise financial crisis with principal component analysis and ANN. It integrates simplifying of enterprise financial crisis index, dynamic learning of financial crisis knowledge by neural network and forecasting of financial crisis, and examples in financial crisis predicting are given to validate the model. The results show the feasibility and validity of the model. The research work supplies a new way for dynamic prediction for Enterprise financial crisis.
  • Keywords
    financial management; learning (artificial intelligence); neural nets; principal component analysis; ANN; artificial neural networks; dynamic learning; enterprise financial crisis; principal component analysis; Analytical models; Artificial neural networks; Biological system modeling; Companies; Indexes; Mathematical model; Predictive models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on
  • Conference_Location
    Henan
  • Print_ISBN
    978-1-4244-7159-1
  • Type

    conf

  • DOI
    10.1109/ICEEE.2010.5661464
  • Filename
    5661464