期刊名称：International Journal of Research in Computer Engineering & Electronics
印刷版ISSN：2319-376x
出版年度：2013
卷号：2
期号：1
语种：English
出版社：BHOPAL INSTITUTE OF PROFESSIONAL STUDIES
摘要：Of the methods used to build bankruptcy prediction models in the last twenty years, neural networks are among the most challenging. Despite the characteristics of neural networks, most of the research done until now has not taken them into consideration for building financial failure models, nor for selecting the variables to be included in the models. The aim of our research is to establish that to improve the prediction accuracy of the models, variable selection techniques developed specifically for neural networks may well offer a useful alternative to conventional methods
