@inproceedings{dc87aea0edb04c1f81df9d88a7e2d7fd,
title = "Insolvency prediction of irish companies using backpropagation and fuzzy ARTMAP neural networks",
abstract = "This study explores experimentally the potential of BPNNs and Fuzzy ARTMAP neural networks to predict insolvency of Irish firms. We used financial information for Irish companies for a period of six years, preprocessed properly in order to be used with neural networks. Prediction results show that with certain network parameters the Fuzzy ARTMAP model outperforms BPNN. It outperforms also self-organising feature maps as reported by other studies that use the same dataset. Accuracy of predictions was validated by ROC analysis, AUC metrics, and leave-one-out cross-validation.",
keywords = "Backpropagation, Data mining, Fuzzy ARTMAP, Insolvency prediction, Neural networks",
author = "Anatoli Nachev and Seamus Hill and Borislav Stoyanov",
note = "j. Filipe, J. Cordeiro; 11th International Conference on Enterprise Information Systems, ICEIS 2009 ; Conference date: 06-05-2009 Through 10-05-2009",
year = "2009",
doi = "10.1007/978-3-642-01347-8\_24",
language = "English",
isbn = "9783642013461",
series = "Lecture Notes in Business Information Processing",
publisher = "Springer-Verlag",
pages = "287--298",
booktitle = "Enterprise Information Systems - 11th International Conference, ICEIS 2009, Proceedings",
}