Credit Card Decision Prediction Based on RBF Neural Network and Bayes Rules

摘要：

There are many ways to predict credit card decision. A problem is that data needs to be discretized, and many possible categorical limits for continuous data are possible. This paper presents an approach to discretize data, then gives the neural network approach to class the data, the parameters of the hidden layer are defined by clustering analysis, the arguments of the the linear output layer are determined by way of Least Squares Algorithm. Finally applies a Bayesian probability approach to assign observations to binary output categories. The result shows that the method is feasible.

关键词： Credit Card Decision Prediction Bayesian analysis Data Mining Neural Network

作者: Meiping XIE Chunmei ZHANG David L.OLSON

作者单位: School of Information Management and Engineering,Shanghai University of Finance & Economics,Shanghai James & H.K.Stuart Professor in MIS and Othmer Professor at the University of Nebraska.Lincoln,NE 68

会议类型: 国际会议

会议名称: 工业工程与系统管理2007年国际会议(International Conference on Industrial Engineering and Systems Management)(IESM 2007)

会议地点: 北京

会议语种:英文

在线出版日期: 2007-05-30（万方平台首次上网日期，不代表论文的发表时间）