Research on the Enterprises Credit Evaluation based on BP Neural Network

Enterprise Credit Evaluation is important to commercial banks, which is related to the Soundness and profitability of loans. This thesis tries to research Enterprises Credit Evaluation with BP Neural Network, in order to solve the problem of credit evaluation in commercial banks. Firstly an index system for evaluation is established. in which the indexes are independent and financial information is redundant. Then this thesis appraises the credit enterprises' classification through BP Neural Network to emulate the nonlinear relation between the indexes system and the classification. Finally the empirical results derived froin comparison between neural network and other credit evaluation models, showing that the credit evaluation method based oil neural network is more exact and effective.