A neural network model for bankruptcy prediction
Journal: International Joint Conference on Neural Networks (IJCNN)
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• ISSN:
2161-4407
Abstract
A neural network model is developed for prediction of bankruptcy, and it is tested using financial data from various companies. The same set of data is analyzed using a more traditional method of bankruptcy prediction, multivariate discriminant analysis. A comparison of the predictive abilities of both the neural network and the discriminant analysis method is presented. The results show that neural networks might be applicable to this problem
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How to Cite this Article
Marcus D. Odom, Ramesh Sharda (1990). "A neural network model for bankruptcy prediction". International Joint Conference on Neural Networks (IJCNN). https://doi.org/10.1109/ijcnn.1990.137710