Credit Evaluation Of P2P Network Loan Borrowers Based On BP Neural Network

Peer-to-Peer Lending,P2 P Lending for short,relys on the network platform of a new mode of borrowing,borrowers and investors can quickly complete the lending transaction through the P2 P platform.Since entering the China,P2 P Lending develops rapidly with its unsecured,quick and simple.However,the rapid development does not mean the maturity of P2 P Lending industry,as a new credit model,P2 P Lending still faces many problems in the development,its risk control ability is far lower than the traditional commercial banks,and credit risk is the primary factor that causing the bad debts and collapse.At present,the majority of P2 P Lending platform did not establish their own credit evaluation model.This article analyzes the credit risk from the view of borrower.On the basis of reading a large number of P2 P Lending borrowers credit risk literature at home and abroad,we carry typical P2 P Lending platforms in the investigation and study,then select the influence factors of P2 P Lending borrowers credit to established the P2 P Lending borrower's credit evaluation system.After introducing the trainoss to optimize the BP neural network,and establish the BP neural network model according the credit evaluation system.Then the model is trained and simulated by using the relevant data of the 104 borrowers in four representative P2 P Lending platform.The training and simulation results show that the optimized model has better convergence and higher accuracy than the standard BP neural network model,and it can evaluate the borrower's credit more accurately.P2 P Lending platform can use the model to filter the high quality of the borrower and control the borrower's default risk,reducing the platform's bad debt rate,so that the platform can make stable operate.Therefore,the model plays a certain role in the risk control of P2 P Lending,so as it can promote the healthy development of P2 P Lending industry.