A Study of Financial Distress Prediction of Listed Corporations with Sport Vector Machines Model

摘要：

This paper uses support vector machines to establish a new model of financial distress prediction, with Chinese listed corporations as samples. After rectifying the model, it gets higher predicting precision and better generalization capability. Comparing to other warning models, support vector machines model for listed corporations in financial distress prediction really has bigger application foreground because of its better characters such as user-friendly and higher accuracy rate.

作者: Yi Ping Liu Dong fang Qiu Peng Bao

作者单位: No 29 Street Yudao, Nanjing, Jiangsu province, China No 29 Street Yudao, Nanjing,Jiangsu province, China 29 Street Yudao, Nanjing,Jiangsu province, China,210016

会议类型: 国际会议

会议名称: 2007年IEEE灰色系统与智能服务国际会议(2007 IEEE International Conference on Grey Systems and Intelligent Services)

会议地点: 南京

会议语种:英文

在线出版日期: 2007-11-18（万方平台首次上网日期，不代表论文的发表时间）