A neural network model in credit risk assessment based on new risk measurement criterion

For a long time credit risk assessment has been regarded as one kind of classification issue of pattern identification, which could not fully meet the requirements of credit risk decision-making. In view of the connotation of credit risk, it is put forward that the probability that credit capital becomes bad debt and the relativity of credit risk should be taken into consideration to assess credit risk. By taking credit risk degree as system output, credit risk assessing and forecasting model based on artificial neural network is established so as to transform assessing mode in effect and provide credit decision-making with more efficient tools and support.