A BP Neural Network Approach on Risk Evaluation of Ventures in China Customs
With the application of Chinas Customs Management Information System (MIS), a great deal of data that reflects the activities of import and export ventures has been stored in the database. However, the risk management of ventures in China Customs still depends on the personal analysis of customs staff, which lacks the necessary decision support information. On the basis of the data warehouse of Risk Management System, a BP neural network model, combined with Levengberg-Marquardt algorithm, is adopted and implemented by Matlab 7.0 for the ventures risk evaluation in China Customs. The simulation analysis of the evaluation model demonstrates that the algorithm can work effectively to perfect the quality of risk controlled by the Customs.
Data Mining BP Neural Networks Risk Evaluation Levengberg-Marquardt Algorithm.
Feng Ye Gengui Zhou Jinqiu Lu
College of Business Administration, Zhejiang University of Technology, Hanghou, 310032, P.R.China Jinqiu Lu is with Wenzhou Customs of China, Wenzhou, 325000, P.R. China
国际会议
上海
英文
2007-09-21(万方平台首次上网日期,不代表论文的发表时间)