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Using Neural Networks to Predict Failure in the Marketplace

In: Intelligent And Other Computational Techniques In Insurance Theory and Applications

Author

Listed:
  • Patrick L. Brockett

    (Management Science and Information Systems Department, College of Business Administration, The University of Texas, Austin TX 78712, USA)

  • Linda L. Golden

    (University of Texas at Austin's McCombs School of Business, Marketing Dept, Campus Mail Code: B6700, Austin TX 78712, USA)

  • Jaeho Jang

    (Center for Management of Operations & Logistics, The University of Texas at Austin, Mail code: B6501, 1 University Station, Austin Texas 78712, USA)

  • Chuanhou Yang

    (Risk Management and Insurance Program, Red McCombs School of Business, University of Texas at Austin, Austin TX 78712, USA)

Abstract

The following sections are included:IntroductionOverview and BackgroundModels for Firm FailureNeural Network and Artificial Intelligence BackgroundThe General Neural Network ModelNetwork Neural Processing Units and LayersThe Back-Propagation AlgorithmNeural Network Methods for Life Insurer Insolvency PredictionNeural Network Methods for Property-Liability Insurer Insolvency PredictionConclusion and Further DirectionsReferences

Suggested Citation

  • Patrick L. Brockett & Linda L. Golden & Jaeho Jang & Chuanhou Yang, 2003. "Using Neural Networks to Predict Failure in the Marketplace," World Scientific Book Chapters, in: A F Shapiro & L C Jain (ed.), Intelligent And Other Computational Techniques In Insurance Theory and Applications, chapter 9, pages 337-364, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9789812794246_0009
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