期刊名称：International Journal of Computer Science and Network Solutions
印刷版ISSN：2345-3397
出版年度：2014
卷号：2
期号：5
页码：107-115
出版社：International Journal of Computer Science and Network Solutions
摘要：In recent times, every organization financial analysis provides the basis for understanding and evaluating theresults of business operations and delivering how well a business is doing. This means that the organizationscan control the operational activities primarily related to corporate finance Bankruptcy prediction has drawna lot of research interests in previous literature, and recent studies have shown that machine learningtechniques achieved better performance than traditional statistical ones. One very common approach tobankruptcy prediction is by using classification techniques, based on key financial ratios. This approach alsostands at the core of this paper, together with a GA. The purpose of combining the two is to find a suitableclassification rule by which bankrupt firms can be separated from non-bankrupt ones. The results obtained byusing the GA are benchmarked against the performance of Discriminate Analysis on the same data
关键词：Intelligent System; GA Algorithm; Corporate Bankruptcy
