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MANAGERIAL APPLICATIONS OF NEURAL NETWORKS: THE CASE OF BANK FAILURE PREDICTIONS.
- Source :
- Management Science; Jul1992, Vol. 38 Issue 7, p926-947, 22p
- Publication Year :
- 1992
-
Abstract
- This paper introduces a neural-net approach to perform discriminant analysis in business research. A neural net represents a nonlinear discriminant function as a pattern of connections between its processing units. Using bank default data, the neural-net approach is compared with linear classifier, logistic regression, kNN, and ID3. Empirical results show that neural nets is a promising method of evaluating bank conditions in terms of predictive accuracy, adaptability, and robustness. Limitations of using neural nets as a general modeling tool are also discussed. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00251909
- Volume :
- 38
- Issue :
- 7
- Database :
- Complementary Index
- Journal :
- Management Science
- Publication Type :
- Academic Journal
- Accession number :
- 4731157
- Full Text :
- https://doi.org/10.1287/mnsc.38.7.926