Journal of Systems Engineering and Electronics ›› 2007, Vol. 18 ›› Issue (4): 769-773.
• SYSTEMS ENGINEERING • Previous Articles Next Articles
Yi Yang1, Rong Fuli1, Chang Huiyou2 & Xiao Zhijiao1
Online:
Published:
Abstract:
Sale prediction plays a significant role in business management. By using support vector machine Regression (ε-SVR), a method using to predict sale is illustrated. It takes historical data and current context data as inputs and presents results, i.e. sale tendency in the future and the forecasting sales, according to the user's specification of accuracy and time cycles. Some practical data experiments and the comparative tests with other algorithms show the advantages of the proposed approach in computation time and correctness.
Yi Yang, Rong Fuli, Chang Huiyou & Xiao Zhijiao. SVR mathematical model and methods for sale prediction[J]. Journal of Systems Engineering and Electronics, 2007, 18(4): 769-773.
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https://www.jseepub.com/EN/Y2007/V18/I4/769