| 基于支持向量机的煤炭销售预测系统的研究 |
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| 引用本文： | 杨飞,王猛.基于支持向量机的煤炭销售预测系统的研究[J].计算机与数字工程,2011,39(6):55-57,75. |
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| 作者姓名： | 杨飞 王猛 |
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| 作者单位： | 太原科技大学计算机科学与技术学院,太原,030024 |
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| 摘 要： | 简要介绍了支持向量机回归原理,以及常用的序列最小化优化算法,将支持向量机回归用于对煤炭销售数据的预测,并在.net平台下设计实现了煤炭销售预测系统,通过真实数据的测试与工程应用,已证明该系统具有智能化程度高、准确率高、操作方便等特点,为煤炭销售预测运行人员提供了一套强有力的工具.
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| 关 键 词： | 支持向量机 序列最小化 结构风险最小化 二次规划 |
Research of Coal Sales Forecasting System Based on Support Vector Machine |
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| Yang Fei,Wang Meng.Research of Coal Sales Forecasting System Based on Support Vector Machine[J].Computer and Digital Engineering,2011,39(6):55-57,75. |
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| Authors: | Yang Fei Wang Meng |
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| Affiliation: | Yang Fei Wang Meng(Taiyuan University of Science and Technology,Institute of Computer Science & Technology,Taiyuan 030024) |
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| Abstract: | The paper briefly introduces the principle of support vector machine regression and sequence minimization optimization algorithm,and uses support vector machine regression for the prediction of coal sales data.Design and implementation of the coal sales forecasting system through real data testing and engineering application has proved that the system has high intelligence and accuracy,easy to operate.It offers a set of powerful tools for forecasters. |
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| Keywords: | support vector machine sequence minimization optimization structural risk minimization quadratic programming |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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