Prediction of Supply Chain Financial Credit Risk Based on PCA-GA-SVM Model

Supply Chain Finance (SCF) is a new type of financing business carried out by commercial banks on the basis supply chain management, which effectively promotes healthy development chain. As most typical mode SCF, accounts receivable can use part occupying working capital for financing, widely used. In order to manage credit risk in and maintain operation chain, this paper proposes financial prediction model based PCA-GA-SVM. First, principal component analysis (PCA) used reduce dimension original index system, then genetic algorithm (GA) optimize parameters support vector machine (SVM). Finally, components selected PCA are input into GA-SVM training, final established. The running results show that performance PCA-GA-SVM better than SVM models. It has good generalization ability, be as reference improve management ability conducive sustainable finance business.