| 注册
首页|期刊导航|广东石油化工学院学报|基于 SVM 的上市公司财务危机预警模型研究磁

基于 SVM 的上市公司财务危机预警模型研究磁

徐阿水

广东石油化工学院学报Issue(6):79-81,85,4.
广东石油化工学院学报Issue(6):79-81,85,4.

基于 SVM 的上市公司财务危机预警模型研究磁

Study on SVM-Based Early Warning Model of Financial Crisis for Listed Companies

徐阿水1

作者信息

  • 1. 漳州职业技术学院经济管理系,福建漳州363000
  • 折叠

摘要

Abstract

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 list-ed companies .This paper first introduces the contents related to support vector machine (SVM ) ,and then analyzes the SVM-Based warn-ing model of financial crisis for listed companies .

关键词

SVM/上市公司/财务危机/预警模型

Key words

Support vector machine/Listed companies/Financial distress/Early warning model

分类

管理科学

引用本文复制引用

徐阿水..基于 SVM 的上市公司财务危机预警模型研究磁[J].广东石油化工学院学报,2014,(6):79-81,85,4.

广东石油化工学院学报

2095-2562

访问量0
|
下载量0
段落导航相关论文