| 支持向量回归机模型结构及性能的研究 |
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| 引用本文： | 司利云,林辉. 支持向量回归机模型结构及性能的研究[J]. 计算机工程与应用, 2008, 44(32): 53-56. DOI: 10.3778/j.issn.1002-8331.2008.32.016 |
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| 作者姓名： | 司利云 林辉 |
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| 作者单位： | 西北工业大学,自动化学院,西安,710072;西北工业大学,自动化学院,西安,710072 |
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| 摘 要： | 总结了目前提出的四类不同结构的支持向量回归机（Support Vector Regression，SVR）模型，并在此基础上提出了三种新的模型结构，通过试验手段对比了几种典型模型的逼近性能，分析了各个模型在应用中存在的优缺点，为实际应用中采用合适的模型提供一种选择方法。
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| 关 键 词： | 支持向量回归机 模型结构 函数逼近性能 |
| 收稿时间： | 2007-12-12 |
| 修稿时间： | 2008-3-26 |
Study on model structure and approximation performance of Support Vector Regression |
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| SI Li-yun,LIN Hui. Study on model structure and approximation performance of Support Vector Regression[J]. Computer Engineering and Applications, 2008, 44(32): 53-56. DOI: 10.3778/j.issn.1002-8331.2008.32.016 |
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| Authors: | SI Li-yun LIN Hui |
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| Affiliation: | Automatic College of Northwestern Polytechnical University，Xi’an 710072，China |
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| Abstract: | The four kinds of model structures of Support Vector Regression(SVR) are introduced,and the three new model struc- tures are presented.The approximation performance of several typical SVR functions is discussed by trial.This paper analyses rel- ative merits of these typical functions,therefore provides one choice method for optimal SVR according to actual condition. |
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| Keywords: | Support Vector Regression(SVR) model structure approximation performance |
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