| RBF核SVM及其应用研究 |
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| 引用本文： | 燕孝飞,葛洪伟,颜七笙.RBF核SVM及其应用研究[J].计算机工程与设计,2006,27(11):1996-1997,2011. |
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| 作者姓名： | 燕孝飞 葛洪伟 颜七笙 |
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| 作者单位： | 1. 江南大学,信息工程学院,江苏,无锡,214122
2. 东华理工学院,江西,抚州,344000 |
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| 摘 要： | 因其核函数的良好性态,RBF核SVM（RBF-SVM）在实际应用中表现出良好的学习性能,但是RBF核函数中的参数对SVM的性能起决定性作用.阐述了RBF-SVM的性能随着变化而变化的规律,并将RBF-SVM引入自动羽绒识别系统中.根据自动羽绒识别系统的实际需求和RBF-SVM的性能变化规律,论述了本系统中参数的选取依据和选取过程,并且给出了的相关曲线变化图.通过研究,最后得到适合本系统的识别模型,从而提高了系统的总体识别率.同时,也验证了RBF-SVM的良好特性和其受参数的约束规律.
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| 关 键 词： | 支持向量机 径向基核函数 学习性能 羽绒识别 变化曲线 识别率 |
| 文章编号： | 1000-7024（2006）11-1996-02 |
| 收稿时间： | 2005-04-06 |
| 修稿时间： | 2005-04-06 |
SVM with RBF kernel and its application research |
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| YAN Xiao-fei,GE Hong-wei,YAN Qi-sheng.SVM with RBF kernel and its application research[J].Computer Engineering and Design,2006,27(11):1996-1997,2011. |
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| Authors: | YAN Xiao-fei GE Hong-wei YAN Qi-sheng |
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| Affiliation: | 1. School of Information Engineering, Southern Yangtze University, Wuxi 214122, China; 2. East China Institute of Technology, Fuzhou 344000, China |
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| Abstract: | Because of good properties of RBF kernel,SVM with RBF kernel(RBF-SVM) shows good learning performance in the practical application.But the performance of RBF-SVM is influenced greatly by the scale parameter.How the affects the function of RBF-SVM is expatiated.Then RBF-SVM is introduced to feather and down category recognition system.Based on the practical of the system and the changing performance of the RBF-SVM,the principle and the process of the parameter are addressed.The picture of the changing curve of is given.A RBF-SVM model of the recognition system is presented via study,which increases the recognition rate of the system.Simultaneously the good learning performance of RBF-SVM and its restriction law are validated. |
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| Keywords: | support vector machine(SVM) RBF kernel function learning performance feather and down category recognition changing curve recognition rate |
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