A case study in applying neural networks to predicting insolvency for property and casualty insurers

DOI10.1057/palgrave.jors.2600461zbMath0895.90135OpenAlexW2080223973MaRDI QIDQ4383665

Linda L. Golden, Patrick L. Brockett, Xiaohua Xia, William W. Cooper

Publication date: 20 September 1998

Published in: Journal of the Operational Research Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1057/palgrave.jors.2600461

zbMATH Keywords

neural networkfeed-forward back-propagationinsurance insolvency

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Case-oriented studies in operations research (90B90)

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Evaluating solvency versus efficiency performance and different forms of organization and marketing in US property -- liability insurance companies. ⋮ Diversity of ability and cognitive style for group decision processes ⋮ Contributions of Professor William W. Cooper in operations research and management science ⋮ Data transformations in DEA cone ratio envelopment approaches for monitoring bank performances ⋮ A bibliography of neural network business applications research: 1994--1998 ⋮ Data mining for decision support on customer insolvency in telecommunications business

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