SVR mathematical model and methods for sale prediction |
| |
Authors: | Yi Yang Rong Fuli Chang Huiyou Xiao Zhijiao |
| |
Institution: | 1. Computer Science Dept., Sun Yat-Sen Univ., Guangzhou 510275, P. R. China 2. Software School, Sun Yat-Sen Univ., Guangzhou 510275, P. R. China |
| |
Abstract: | Sale prediction plays a significant role in business management. By using support vector machine Regression ( -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: | regression support vector regression sale prediction |
本文献已被 万方数据 ScienceDirect 等数据库收录! |
| 点击此处可从《系统工程与电子技术(英文版)》浏览原始摘要信息 |
| 点击此处可从《系统工程与电子技术(英文版)》下载免费的PDF全文 |