Prediction and Analysis of Mobile Phone Export Volume Based on SVR Model

Electronic products occupy an important position in the export structure of China’s trade, and mobile phone products occupy a place in the export of electronic products. With the change of China’s export trade structure, it is of great significance to accurately predict the future trend of mobile phone export market. In order to effectively predict China’s mobile phone export volume, this paper selects China’s mobile phone export volume and other macro data that affect mobile phone export volume since 2008, normalizes the data to better reflect the essential relationship between the data, and finally uses the Gauss radial basis kernel function. In order to reflect the prediction accuracy of SVR model, this paper introduces ARIMA model for comparison. By comparing the two models, it is found that the support vector regression model can predict the export volume of mobile phones more accurately and verify the accuracy of its prediction of China’s mobile phone export volume.