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Probabilistic Neural Networks in Bankruptcy Prediction

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Author Info
Yang, Z. R.
Platt, Marjorie B.
Platt, Harlan D.
Abstract

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File URL: http://www.sciencedirect.com/science/article/B6V7S-3V8C93V-1/2/4443225f2e682403cf7a746cef228ec7
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Article provided by Elsevier in its journal Journal of Business Research.

Volume (Year): 44 (1999)
Issue (Month): 2 (February)
Pages: 67-74
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Handle: RePEc:eee:jbrese:v:44:y:1999:i:2:p:67-74

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Web page: http://www.elsevier.com/locate/jbusres

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  1. J. Neves & A. Vieira, 2006. "Improving bankruptcy prediction with Hidden Layer Learning Vector Quantization," European Accounting Review, Taylor and Francis Journals, vol. 15(2), pages 253-271, January. [Downloadable!] (restricted)
  2. Balcaen S. & Ooghe H., 2004. "Alternative methodologies in studies on business failure: do they produce better results than the classic statistical methods?," Vlerick Leuven Gent Management School Working Paper Series 2004-16, Vlerick Leuven Gent Management School. [Downloadable!]
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  3. Spiliopoulos, Leonidas, 2009. "Neural networks as a learning paradigm for general normal form games," MPRA Paper 16765, University Library of Munich, Germany. [Downloadable!]
  4. Haider A. Khan, 2002. "Can Banks Learn to Be Rational?," CIRJE F-Series CIRJE-F-151, CIRJE, Faculty of Economics, University of Tokyo. [Downloadable!]
  5. Constantin Zopounidis, Michael Doumpos, Fotios Pasiouras, 2007. "Multicriteria Framework for the Prediction of Corporate Failure in the UK," Frontiers in Finance and Economics, Lille Graduate School of Management, vol. 4(1), pages 65-90, June. [Downloadable!]
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This page was last updated on 2009-12-3.


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