A Novel EFR Prediction Model Based on an Improved Intelligent Algorithm

摘要：

As a risk management tool of forecasting the enterprise financial crisis and providing the warning signal for the company investors and the managers, the financial risk prediction can objectively evaluate the enterprise state of operation. But the traditional or commonly used methods to predict the enterprise financial risk (EFR) are limited and inadequate. To predict the EFR scientifically and accurately, according to the principle of BP neural network, this paper proposes the BP neural network model. The model not only can simulate the expert in predicting the EFR, but also avoid the subjective mistakes in the evaluation process.

关键词： Improved BP Neural Network Algorithm EFR Prediction Model Indices System

作者: Yiming Li Xiaqjuan Li Zhibin Liu

作者单位: School of Business Agricultural University ofHebei Baoding City, Hebei Province, China Department of Accounting Hebei College of Finance Baoding City, Hebei Province, China

会议类型: 国际会议

会议名称: 2010 Second Asia-Pacific Conference on Information Processing(2010年第二届亚太地区信息处理国际会议 APCIP 2010)

会议地点: 南昌

会议语种:英文

页码: 626-629

在线出版日期: 2010-09-17（万方平台首次上网日期，不代表论文的发表时间）