Genetic programming for the prediction of insolvency in non-life insurance companies-Reference-Cited by-同舟云学术

Genetic programming for the prediction of insolvency in non-life insurance companies

Published:2005-04 Issue:4 Volume:32 Page:749-765
ISSN:0305-0548
Container-title:Computers & Operations Research
language:en
Short-container-title:Computers & Operations Research

Author:

Salcedo-Sanz Sancho,Fernández-Villacañas José-Luis,Segovia-Vargas Marı́a Jesús,Bousoño-Calzón Carlos

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Modeling and Simulation,General Computer Science

Reference24 articles.

1. Chen SH, Yeh CH. Using genetic programming to model volatility in financial time series. In: Koza J, et al., editors. Proceedings of the Second Annual Conference on Genetic Programming, 1997. p. 58–63.

2. A survey of business failures with an emphasis on prediction methods and industrial applications;Dimitras;European Journal of Operational Research,1996

3. Neural network models and the prediction of bankruptcy;Tam;Omega,1991

4. Managerial applications of neural networks: the case of bank failure predictions;Tam;Management Science,1992

5. Business failure using rough set;Dimitras;European Journal of Operational Research,1998

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