摘要
现阶段,部分上市公司由于商品市场供求失衡、政策失调及通货膨胀等各种原因,导致投资决策失误,进而发生财务异常、亏损等不良现象,因此深入研究分析上市公司财务危机并构建有效的预警模型,成为各大上市公司利益相关人员的需求。文章首先论述了SVM(支持向量机)的相关内容,然后以SVM为基础分析了上市公司财务危机预警模型。
At present,some listed companies commit errors in investment decision-making,thus suffering financial anomalies and losses,because of imbalance between supply and demand in commodity market,inflation and some other factors. Therefore,to intensively study the financial crisis of listed companies and to build effective early warning model at once becomes the demand of related personnel in major listed companies. This paper first introduces the contents related to support vector machine（ SVM）,and then analyzes the SVM-Based warning model of financial crisis for listed companies.
出处
《广东石油化工学院学报》
2014年第6期79-81,85,共4页
Journal of Guangdong University of Petrochemical Technology
关键词
SVM
上市公司
财务危机
预警模型
Support vector machine
Listed companies
Financial distress
Early warning model
