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| Author: | Zhang, G. |
| Title: | Artificial neural networks in bankruptcy prediction: general framework and cross-validation analysis |
| Journal: | European Journal of Operational Research
1999 : JUL 1, VOL. 116:1, p. 16-32 |
| Index terms: | OPERATIONAL RESEARCH NEURAL NETWORKS BANKRUPTCY |
| Language: | eng |
| Abstract: | In this paper, the authors present a general framework for understanding the role of artificial neural networks (ANNs) in bankruptcy prediction. The authors give a comprehensive review of neural network applications in this area and illustrate the link between neural networks and traditional Bayesian classification theory. The method of cross-validation is used to examine the between-sample variation of neural networks for bankruptcy prediction. |
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