haku: @indexterm BANKRUPTCY FORECASTING / yhteensä: 11
viite: 3 / 11
| Tekijä: | Neves, J.C. Vieira, A. |
| Otsikko: | Improving bankruptcy prediction with Hidden Layer Learning Vector Quantization |
| Lehti: | European Accounting Review
2006 : VOL. 15:2, p. 253-271 |
| Asiasana: | bankruptcy forecasting credit defaults finance risk |
| Kieli: | eng |
| Tiivistelmä: | This article aims to improve bankruptcy prediction by developing a method called Hidden Layer Learning Vector Quantization (HLVQ). According to the authors, the HLVQ method outperforms both discriminant analysis and traditional neural networks. The data studied in this paper is from French companies over the period 1998-2000. |
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