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| Tekijä: | Desai, V. |
| Otsikko: | A comparison of neural networks and linear scoring models in the credit union environment |
| Lehti: | European Journal of Operational Research
1996 : NOV 22, VOL. 95:1, p. 24-37 |
| Asiasana: | NEURAL NETWORKS BANKING CREDIT |
| Kieli: | eng |
| Tiivistelmä: | The purpose of the present paper is to explore the ability of neural networks such as multilayer perceptions and modular neural networks, and traditional techniques such as linear discriminant analysis and logistic regression, in building credit scoring models in the credit union environment. Also, since funding and small sample size often preclude the use of customized credit scoring models at small credit unions, the authors envisage the performance of generic models and compare them with customized models. |
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