Prediction of Tobacco Sales Based on Support Vector Machine

Fuli Ding () and Limin Sun
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Fuli Ding: Yantai University
Limin Sun: Yantai University

A chapter in LISS 2014, 2015, pp 891-896 from Springer

Abstract: 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.

Keywords: Tobacco sales prediction; Support vector machine; Multidimensional time series (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-662-43871-8_128

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DOI: 10.1007/978-3-662-43871-8_128

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