Forecasting techniques are playing an increasingly important role in business decision-making. The study focusing on the forecast of Chinese automobile monthly production will be conducted in this paper. The Forecasting model is designed by using the method of Support Vector Machines, compared with the methods of ARIMA the results show that the SVM model has a more accurate prediction of performance.
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