Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1713082 | Journal of Systems Engineering and Electronics | 2007 | 5 Pages |
Abstract
Sale prediction plays a significant role in business management. By using support vector machine Regression (É-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.
Keywords
Related Topics
Physical Sciences and Engineering
Engineering
Control and Systems Engineering
Authors
Yi Yang, Rong Fuli, Chang Huiyou, Xiao Zhijiao,