Research on Student Credit Scoring within College E-commerce Platform
With the progress of college informationization in China, campus e-commerce develops gradually supported by college information platform. Different from business e-commerce platform, the main service target of college e-commerce platform is students in college, whose credit scoring is visibly different from business e-commerce platform. The credit scoring on the mature e-commerce platform cannot be completely applied to students credit scoring. This paper defines a student credit scoring by analyzing a large amount of samples, and establishes a student credit scoring by utilizing the powerful nonlinear processing ability of BP neural network. By testing the sample, this model proves to be highly accurate and of great practical value.
Student credit scoring e-commerce BP neural network
Tang Qin Liu Yong Jianyou Zeng
Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, Faculty of Mechanical and Electronic Information, China University of Geosciences, P.R.China School of Arts and Communication, China University of Geoseiences, P.R.China
国际会议
第八届武汉电子商务国际会议(The Eighth Wuhan International Conference on E-Business)
武汉
英文
246-251
2009-05-30（万方平台首次上网日期，不代表论文的发表时间）