Abstract
Credit is the cornerstone of modern market economy. Credit risk is one of the most important risks which the banks are facing to. Credit risk Evaluation virtually is a non-linear classification matter. The banks evaluate and classify the clients according to their information data, then according to the results of classification to decide whether to authorize the loans. This article established the artificial BP neural network evaluation model and achieved intelligence of the bank's credit risk assessment and increased the scientific of bank credit evaluation and management. It is very significant that using trade credit division to determine the credit rating for dealing with bank's non-linear complicated credit management. And we select part of the clients' information of several banks' real estate industry to establish the evaluation model for the empirical test.
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