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| 基于遗传算法的回归型支持向量机参数选择法 | |
| 引用本文： | 李良敏,温广瑞,王生昌.基于遗传算法的回归型支持向量机参数选择法[J].计算机工程与应用,2008,44(7):23-26. |
| 作者姓名： | 李良敏 温广瑞 王生昌 |
| 作者单位： | 1. 长安大学汽车运输安全保障技术交通行业重点实验室,西安,710064;长安大学汽车学院,西安,710064 2. 西安交通大学机械制造系统工程国家重点实验室,西安,710049 3. 长安大学汽车学院,西安,710064 |
| 基金项目： | 国家高技术研究发展计划(863)(the National High-Tech Research and Development Plan of China under Grant No.2006-AA04Z429) |
| 摘 要： | 研究了遗传算法在回归型支持向量机参数选择中的应用:首先,分析了支持向量机的几个参数对其预报能力的影响,发现参数选取不当,会导致支持向量机出现过学习或欠学习现象;在此基础上提出利用遗传算法来解决回归型支持向量机的参数选择问题,模拟实验证明,该方法克服了传统参数选择方法存在的缺点,提高了支持向量机的预报精度。 |
| 关 键 词： | 回归型支持向量机 遗传算法 参数选择 |
| 文章编号： | 1002-8331（2008）07-0023-04 |
| 收稿时间： | 2007-10-26 |
| 修稿时间： | 2007-12-06 |
Parameters selection of support vector regression based on genetic algorithm |
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| LI Liang-min,WEN Guang-rui,WANG Sheng-chang.Parameters selection of support vector regression based on genetic algorithm[J].Computer Engineering and Applications,2008,44(7):23-26. | |
| Authors: | LI Liang-min WEN Guang-rui WANG Sheng-chang |
| Affiliation: | 1.Key Laboratory of Automotive Transportation Safety Enhancement Technology of the Ministry of Communication，Chang’an University，Xi’an 710064，China 2.State Key Laboratory for Manufacturing Systems Engineering，Xi’an Jiaotong University，Xi’an 710049，China 3.School of Automobile，Chang’an University，Xi’an 710064，China |
| Abstract: | This paper mainly deals with the application of genetic algorithm to parameters selection of support vector regression.The variability in predict performance of support vector regression with respect to the free parameters is firstly investigated.A conclusion is drawn that improper parameter would lead to overfitting or underfitting.Then the genetic algorithm is introduced to select parameters for support vector regression.Simulation results proved that the proposed method overcame some obstacles of traditional parameter selection methods,thus the predict precision of support vector regression is enhanced. |
| Keywords: | support vector regression genetic algorithm parameters selection |
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