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Tekijä:Brockett, P.
Otsikko:A case study in applying neural networks to predicting insolvency for property and casuality insurers
Lehti:Journal of the Operational Research Society
1997 : DEC, VOL. 48:12, p. 1153-1162
Asiasana:OPERATIONAL RESEARCH
NEURAL NETWORKS
PROPERTY
Kieli:eng
Tiivistelmä:This paper presents a neural network artificial intelligence model developed in cooperation with the Texas Department of Insurance as part of an early warning system for predicting insurer insolvency. A feed-forward back-propagation methodology is utilised to compute an estimate of insurer propensity towards insolvency. The results are then applied to a collection of all Texas domestic property and casualty insurance companies which became insolvent between 1987 and 1990 and the goal of predicting insolvency three years ahead of time.
SCIMA tietueen numero: 169619
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