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.