Insolvency Prediction of Irish Companies Using Backpropagation and Fuzzy ARTMAP Neural Networks
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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.
KeywordsInsolvency prediction Data mining Neural networks Backpropagation Fuzzy ARTMAP
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- 3.Balcaen, S., Ooghe, H.: 35 years of studies on business failure: An overview of the classical statistical methodologies and their related problems. Working paper 248, Ghent University, Belgium (2004)Google Scholar
- 6.Charitou, A., Neophytou, E., Charalambous, C.: Predicting Corporate Failure: Empirical Evidence for UK, European Acc. Review 13(3), 465–497 (2004)Google Scholar
- 9.Jones, M.: Financial Diagnosis of Irish Companies Using Self-Organising Neural Networks. In: Proceedings of the 9th Irish Academy of Management Annual Conference, Galway, Ireland, September, 7-9 (2005)Google Scholar
- 12.Rees, W.: Financial Analysis. Prentice-Hall, Hemel Hempstead (1995)Google Scholar