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Prediction of Tobacco Sales Based on Support Vector Machine

In: Liss 2014

Author

Listed:
  • Fuli Ding

    (Yantai University)

  • Limin Sun

    (Yantai University)

Abstract

The prediction of tobacco sales is helpful to tobacco production, transportation and delivery. It promotes the tobacco industry to meet the market demand more accurately. Tobacco sales is affected by many factors. It is seasonal and cyclical, so the traditional linear model is difficult to get a good prediction performance. This article is to establish a multi-dimensional time series model of tobacco sales based on support vector machine. Experimental results show that this model get a good prediction performance, which can reflect the trend of tobacco sales accurately. Comparative experiments also show that the prediction performance of the model proposed in this paper is better than others. It can provide a scientific basis for tobacco sales management, so it has a great practical value.

Suggested Citation

  • Fuli Ding & Limin Sun, 2015. "Prediction of Tobacco Sales Based on Support Vector Machine," Springer Books, in: Zhenji Zhang & Zuojun Max Shen & Juliang Zhang & Runtong Zhang (ed.), Liss 2014, edition 127, pages 891-896, Springer.
    • Handle: RePEc:spr:sprchp:978-3-662-43871-8_128
    DOI: 10.1007/978-3-662-43871-8_128
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