Artificial neural networks and bankruptcy forecasting: a state of the art

被引：36

作者：

Perez, M ^{[1
]}

机构：

[1] Univ St Etienne, Conference Preactis, F-42023 St Etienne, France

来源：

NEURAL COMPUTING & APPLICATIONS | 2006年 / 15卷 / 02期

关键词：

bankruptcy forecasting; neural networks; connexionism;

D O I：

10.1007/s00521-005-0022-x

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The use of neural networks in finance began by the end of the 1980s and by the beginning of the 1990s, it developed specific applications related to forecasting on the failure of companies. In order to highlight the evolution of this research stream, we have retained and analysed 30 studies in which the authors use neural networks to solve companies' classification problems (healthy and failing firms). This review of all these works gives us the opportunity to stress upon future trends in bankruptcy forecasting research.

引用

页码：154 / 163

页数：10

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