An Artificial Immune Credit System for Bank Internal Risk Management

摘要：

In China, the credit risk of housing loan detection system excessively focuses on the individual housing loan, but ignores the credit risk management of the hidden dangers within the banks. This paper, based on the idea of Artificial Immunology, uses learning methods of gene pool and negative selection, and proposes a prediction system, with immune features of self-adaptability and self-memory, for credit risk management of the bank. It is a novel way of auto-learning for assessment of the credit risk.

关键词： bank internal risk artificial immunology gene pool negative selection algorithm

作者: WU Zejun WANG Hailan LIANG Yiwen

作者单位: School of Computer Wuhan University Luojia Mountain., Wuhan 430072, China;College of Information Zho School of Computer Wuhan University Luojia Mountain., Wuhan 430072, China

会议类型: 国际会议

会议名称: 第二届国际计算机新科技与教育学术会议(Proceedings of the Second International Conference on Computer Science & Education ICCSE2007)

会议地点: 武汉

会议语种:英文

页码: 169-172

在线出版日期: 2007-07-25（万方平台首次上网日期，不代表论文的发表时间）