EconPapers    
Economics at your fingertips  
 

Merging Soft Computing Technologies in Insurance-Related Applications

Arnold F. Shapiro
Additional contact information
Arnold F. Shapiro: Actuarial Science Program, Smeal College of Business, The Pennsylvania State University, University Park, PA 16802, USA

Chapter 11 in Intelligent and Other Computational Techniques in Insurance:Theory and Applications, 2003, pp 401-430 from World Scientific Publishing Co. Pte. Ltd.

Abstract: AbstractThe following sections are included:IntroductionAdvantages and Disadvantages of NNs, FL and GAsNNs Controlled by FLInputs and WeightsLearning Rates and Momentum CoefficientsNNs Generated by GasImplementing GAsFuzzy Inference Systems (FISs) Tuned by GAsFISs Tuned by NNsGAs Controlled by FLNeuro-Fuzzy-Genetic SystemsConclusionsAcknowledgmentsReferences

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
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.worldscientific.com/doi/pdf/10.1142/9789812794246_0011 (application/pdf)
https://www.worldscientific.com/doi/abs/10.1142/9789812794246_0011 (text/html)
Ebook Access is available upon purchase.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:wschap:9789812794246_0011

Ordering information: This item can be ordered from

Access Statistics for this chapter

More chapters in World Scientific Book Chapters from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().

 
Page updated 2025-04-13
Handle: RePEc:wsi:wschap:9789812794246_0011