It is important to approve application to private credits in banks, as private loans are becoming a principal service in bank operations. The approving rule base for private credit should be leaned after some time. Taken Japanese credit screening rule base as an example, the refinement procedure for  rule base refinement was illustrated by using artificial intelligence technology and history credit screening data. The results show that the numbers of leaned rules decrease while the accuracy of the classification increases.