| 卷烟焦油量的支持向量机预测 |
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| 引用本文： | 王强,陈英武,李孟军.卷烟焦油量的支持向量机预测[J].烟草科技,2007(10):5-8. |
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| 作者姓名： | 王强 陈英武 李孟军 |
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| 作者单位： | 国防科技大学信息系统与管理学院,长沙市砚瓦池正街47号,410073 |
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| 摘 要： | 为探索预测和控制卷烟焦油量的方法,根据卷烟焦油量与烟叶内在化学成分之间的关系,提出了基于支持向量机的卷烟焦油量预测方法。介绍了支持向量回归估计的学习算法,应用SVM方法建立了基于支持向量机的卷烟焦油量预测模型。计算实例表明,该方法能够根据烟叶中的化学成分测量值来预测卷烟的焦油量。
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| 关 键 词： | 卷烟 焦油 预测模型 化学成分 支持向量机 |
| 文章编号： | 1002-0861(2007)10-0005-04 |
| 修稿时间： | 2007年4月17日 |
Prediction of Cigarette Tar Delivery with Support Vector Machine |
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| WANG QIANG,CHEN YING-WU,LI MENG-JUN.Prediction of Cigarette Tar Delivery with Support Vector Machine[J].Tobacco Science & Technology,2007(10):5-8. |
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| Authors: | WANG QIANG CHEN YING-WU LI MENG-JUN |
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| Abstract: | In order to find out a method for prediction and control of cigarette tar delivery from the relationship between tar delivery and chemical components in tobacco leaf,a prediction method was proposed based on support vector machine(SVM).The algorithm of support vector for regression estimation was introduced,and the prediction model for tar delivery was established with SVM.The practical examples of calculation indicated that the cigarette tar delivery could be predicted with this method from the chemical components in tobacco leaf. |
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| Keywords: | Cigarette Tar Prediction model Chemical component Support vector machine |
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