Early Warning System of Operational Risks in Listed Companies in China Based on BP Artificial Neural Network

摘要：

With Matlab computing platform, Intercepting some listed companies in China as the study sample of Risk Early Warning System, selecting 18 indicator variables, setting the BP neural network model as the based frame, this article constructs the Risk Early Warning System of the listed company. Through training and testing practice of the practice, we can confirm that operational risk early warning system constructed in this paper has higher prediction accuracy to the business risk of the listed company in China and can be used as reference for carrying out risk warning for Chinas listed companies.

关键词： Listed Company Business risk Early Warning System BP

作者: JIANG Fazhu SHI Kun WU Dan

作者单位: College of Economic and Management, Heilongjiang Bayi Agricultural University, P.R.China, 163319

会议类型: 国际会议

会议名称: The 5th International Conference on Management Technology(2010年第五届太原技术管理国际研讨会)

会议地点: 太原

会议语种:英文

页码: 33-38

在线出版日期: 2010-08-20（万方平台首次上网日期，不代表论文的发表时间）