| 基于支持向量分类机和回归机的综合评价方法 |
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| 引用本文： | 夏国恩,金炜东,张葛祥.基于支持向量分类机和回归机的综合评价方法[J].西南交通大学学报,2006,41(4):522-527. |
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| 作者姓名： | 夏国恩 金炜东 张葛祥 |
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| 作者单位： | 1. 西南交通大学经济管理学院,四川,成都,610031
2. 西南交通大学电气工程学院,四川,成都,610031 |
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| 基金项目： | 电子对抗技术预研基金项目（No.NEWL51435QT220401） |
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| 摘 要： | 采用支持向量多值分类机和回归机进行综合评价排序,以提高机器学习方法的综合评价排序能力,并以管理信息系统综合评价为例,与人工神经网络（ANN）方法进行了对比研究.试验结果表明,基于支持向量多值分类机综合评价得分之间的差异比ANN更明显,而且基于支持向量回归机综合评价得分的相对误差明显小于ANN.
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| 关 键 词： | 支持向量分类机 支持向量回归机 综合评价 人工神经网络 管理信息系统 |
| 文章编号： | 0258-2724（2006）04-0522-06 |
| 收稿时间： | 2005-01-21 |
| 修稿时间： | 2005-01-21 |
Synthetic Evaluation Method Based Support Vector Classifier and Regression Machine |
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| XIA Guoen,JIN Weidong,ZHANG Gexiang.Synthetic Evaluation Method Based Support Vector Classifier and Regression Machine[J].Journal of Southwest Jiaotong University,2006,41(4):522-527. |
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| Authors: | XIA Guoen JIN Weidong ZHANG Gexiang |
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| Institution: | 1. School of Economics and Management, Southwest Jiaotong University, Chengdu 610031, China; 2. School of Electric Eng., Southwest Jiaotong University, Chengdu 610031, China |
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| Abstract: | To improve the synthetic evaluation and ranking abilities of machine learning methods,a support vector multi-classifier and a support vector regression machine were applied to the ranking of synthetic evaluation.By taking the evaluation of a management information system as an example,a contrast research between the proposed approach and ANN(artificial neural network) was made.Experimental results show that the difference of synthetic evaluation scores obtained by a support vector multi-classifier is more remarkable than that by ANN,and the relative error of synthetic evaluation scores based on a support vector regression machine is smaller than that based on ANN. |
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| Keywords: | support vector classifier support vector regression machine synthetic evaluation artificial neural network(ANN) management information system |
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