Research on the Credit Risk Assessment Model Based on the Neural Network Algorithm
The credit risk assessment model based on the neural network algorithm will be more and more widely used in the financial field,providing solid technical support for the healthy development of the financial market,and it can significantly improve the level of risk management.Traditional risk assessment methods are often limited by experience and rules and difficult to cope with the complex and changeable market environment.In contrast,the neural network algorithm is more adaptable to changing risk situations with its excellent nonlinear processing abil-ity,and provides more accurate and scientific predictions.Future studies need to further optimize the structure of the model to improve its prediction accuracy.
NETL
NSTL
万方数据
