Research of Financial Early-warning for Listed Companies Based on SVM

被引：0

作者：

Huang, Hailun ^{[1
]}

Jiang, Wuxue ^{[2
]}

Wang, Shi ^{[2
]}

机构：

[1] Wuhan Vocat Coll Software & Engn, Sch Business, Wuhan 430205, Peoples R China

[2] Dongguan Polytech, Dept Comp Engn, Dongguan 523808, Peoples R China

来源：

PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ENGINEERING | 2015年 / 17卷

关键词：

Financial early-warning; Support vector machine (SVM); Model;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, the support vector machine (SVM) is applied for the early warning of financial crisis of listed companies, financial early-warning indexes and quantitative methods are analyzed, the early-warning ability of SVM model is verified by combining with the financial data of listed companies, and the real evidence has proved the feasibility of SVM model used for financial early-warning, finally, the possibility of using multi-mode classification to identify the alert degree of financial early-warning.

引用

页码：278 / 281

页数：4

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