Improving the RBF Neural Network under Stein Loss and Its Application to the Credit Score

摘要：

Aiming at the problem in the application of the RBF neural network to the credit score, this paper proposes a RBF neural network classification under the Stein loss function, and produces the test results on the Germany credit score data sets among the UCI. The results illuminate that the method proposed in this paper may effectively solve the problem in the application of the RBF neural network to the credit score.

关键词： Stein loss function RBF neural network Credit score

作者: Yanxi Liu

作者单位: College of Science Changchun University, Changchun, China

会议类型: 国际会议

会议名称: 2010 3rd International Conference on Advanced Computer Theory and Engineering(2010年第三届先进计算机理论与工程国际会议 ICACTE 2010)

会议地点: 成都

会议语种:英文

页码: 1-3

在线出版日期: 2010-08-20（万方平台首次上网日期，不代表论文的发表时间）