Electric Power Enterprise Financial Risk Evaluation Based On Rough Set and BP Network
The comprehensive evaluation problem of electric power listed corporation has always been a focus since Marketoriented reform of the electric power industry,and financial risk evaluation play a key role to science investment decision of electric power listed corporation.This paper presents a new composite forecasting method for financial risk of electric power corporation,modeling and forecasting based on Rough Set and Back-propagation Neural Network model.Combing reality financial data of electric power listed corporation and using Rough Set theory to select financial indexes,which are as modeling variables,then establishing financial risk estimation model based on Back-propagation Neural Network.Through training for the financial data,it shows that this model has a high accuracy to the results of financial risks evaluation,and it offers effective technical support to financial risk evading of electric power enterprise.
rough set BP network electric power enterprise financial risk
Zhihong Lin Hong Qiao Xuechen Dong
Economic Management DepartmentNorth China Electric Power UniversityBaoding,China Business School Agriculture of HebeiUniversityBaoding,,China Economic Management Department North China Electric Power University Baoding,China
国际会议
北京
英文
2008-10-12（万方平台首次上网日期，不代表论文的发表时间）