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- W1976238422 abstract "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." @default.
- W1976238422 created "2016-06-24" @default.
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- W1976238422 date "2011-07-01" @default.
- W1976238422 modified "2023-09-25" @default.
- W1976238422 title "Forecast and Application of Chinese Automobile Production Based on SVM" @default.
- W1976238422 doi "https://doi.org/10.1109/paccs.2011.5990153" @default.
- W1976238422 hasPublicationYear "2011" @default.
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