• DocumentCode
    3293141
  • Title

    A structured approach to neural networks in bankruptcy prediction

  • Author

    Almeida, Fernando C.

  • Author_Institution
    FEARP, Sao Paulo Univ., Brazil
  • fYear
    1997
  • fDate
    3-5 Dec 1997
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This paper explores the difficulties as well as a structured approach in developing neural networks in management, more specifically in bankruptcy prediction. It distinguishes the potential strategic interest in using neural networks in a firm as a decision support tool. Neural networks are developed and tested through the exploring of the French industry of merchandise transportation. Through the construction of an experimental plan neural networks are tested and compared with logistic regression
  • Keywords
    backpropagation; decision support systems; feedforward neural nets; financial data processing; backpropagation; bankruptcy prediction; decision support systems; feedforward neural networks; industry; logistic regression; Backpropagation; Decision support systems; Information systems; Information technology; Intelligent networks; Logistics; Marketing and sales; Neural networks; Testing; Transportation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1997. Proceedings., IVth Brazilian Symposium on
  • Conference_Location
    Goiania
  • Print_ISBN
    0-8186-8070-9
  • Type

    conf

  • DOI
    10.1109/SBRN.1997.645840
  • Filename
    645840