Abstract:Considering various factors affecting automobile sales, the penalty coefficient and kernel function parameters of support vector machine are optimized by cross validation and grid search, and a prediction model suitable for automobile sales is established. The simulation results show that the forecasting effect of the improved support vector machine optimized automobile sales forecasting model is better than that of the current model adopted by a company. The model has higher forecasting accuracy and greater credibility, and can provide more accurate sales forecasting reference for enterprise decision-making level.