Supply Chain Financial Risk Assessment of Commercial Banks Based on GA-BP Neural Network Model

In order to prevent supply chain financial risks (SCFR), commercial banks should establish a risk assessment index system and introduce the BPNN (Back Propagation Neural Network) model into SCFR assessment to achieve prediction of SCFR. This article constructs a BPNN model, builds a SCFR evaluation index system, and uses genetic algorithm (Genetic Algorithm, GA) to optimize the weights and thresholds of the BPNN, then applies the BPNN model optimized by genetic algorithm to the SCFR assessment of commercial banks. The article finally verifies the effectiveness of the GA-BPNN model. The results show that the GA-BPNN model can increase the accuracy of risk assessment to a maximum of 95.7%, which will be of great help to future risk assessment research.