Using Neural Networks to Predict Failure in the Marketplace

Patrick L. Brockett, Linda L. Golden, Jaeho Jang and Chuanhou Yang
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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

Chapter 9 in Intelligent and Other Computational Techniques in Insurance:Theory and Applications, 2003, pp 337-364 from World Scientific Publishing Co. Pte. Ltd.

Abstract: AbstractThe 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

Keywords: Insurance; Actuarial Science; Neural Networks; Fuzzy Systems; Computational Intelligence; Computational Techniques; Life and Health Insurance; Property and Casualty Insurance (search for similar items in EconPapers)
Date: 2003
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