Construction of Artificial Intelligence Application Model for Supply Chain Financial Risk Assessment

An artificial intelligence integrated application model of supply chain financial risk assessment is constructed. Based on the data and listed companies in China’s new energy electric vehicle industry, credit evaluation index system The samples are preprocessed by PCA as input support vector machine, which effectively solves problem high-dimensional finance. By improving inertia weight particle swarm optimization introducing mutation operation, a dynamic algorithm proposed to avoid particles falling into local minimum process optimization. Finally, improved used optimize parameters SVM AdaBoost integration weak classifier build an with good performance many aspects. has been successfully applied comparison other models shows that constructed certain advantages performance.