Small and medium-sized enterprise credit prediction classification method based on SAGWO algorithm

The invention belongs to the field of data classification, and particularly relates to a small and medium-sized enterprise credit prediction classification method based on an SAGWO algorithm. According to the method, a small and medium-sized enterprise credit data set disclosed by a credit investigation mechanism or a network is utilized, and a grey wolf algorithm is fused based on a simulated annealing thought to improve a support vector machine model; firstly, a simulated annealing thought is introduced; the grey wolf algorithm can better eliminate the local optimal solution on the basis ofthe existing performance to obtain better global convergence, so that the global and local search capability of the grey wolf algorithm is improved, the improved support vector machine model is utilized to perform data classification on medium and small enterprise credit samples, the optimized model further improves the classification accuracy of medium and small enterprise credit, and meanwhile,the efficiency of the supp