An Introduction to Neural Networks in Insurance

Louise A. Francis
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Louise A. Francis: Francis Analytics and Actuarial Data Mining, Inc., 706 Lombard St., Philadelphia, PA 19147, USA

Chapter 2 in Intelligent and Other Computational Techniques in Insurance:Theory and Applications, 2003, pp 51-102 from World Scientific Publishing Co. Pte. Ltd.

Abstract: AbstractThe following sections are included:IntroductionBackground on Neural NetworksStructure of a Feedforward Neural NetworkExample 1: Simple Example of Fitting a Nonlinear Function to Claim SeveritySeverity Trend ModelsA One Node Neural NetworkFitting the CurveFitting the Neural NetworkThe Fitted CurveThe Logistic Function RevisitedExample 2: Using Neural Networks to Fit a Complex Nonlinear FunctionThe Chain Ladder MethodModeling Loss Development Using a Two-Variable Neural NetworkInteractionsCorrelated Variables and Dimension ReductionFactor Analysis and Principal Components AnalysisFactor AnalysisPrincipal Components AnalysisExample 3: Dimension ReductionConclusionAcknowledgmentsReferences

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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