a novel granular support vector machine based on mixed kernel function
文献类型：期刊论文
| 作者 | Huang Huajuan ; Ding Shifei ; Jin Fengxiang ; Yu Junzhao ; Han Youzhen |
| 刊名 | International Journal of Digital Content Technology and its Applications
 |
| 出版日期 | 2012 |
| 卷号 | 6期号:20页码:484-492 |
| 关键词 | Algorithms Granulation Particles (particulate matter) |
| ISSN号 | 1975-9339 |
| 中文摘要 | The constaints of time and memory will reduce the learning performance of Support Vector Machine (SVM) when it is used to solve the large number of samples. In order to solve this problem, a novel algorithm called Granular Support Vector Machine based on Mixed Kernel Function (GSVM-MKF) is proposed. Firstly, the granular method is propsed and then the judgment and extraction methods of support vector particles are given. On the above basis, we propose a new granular support vector machine learning model. Secondly, in order to further improve the performance of the granular support vector machine learning model, a mixed kernel function which effectively uses the global kernel function having the good generalization ability and the local kernel function having good learning ability is proposed. Finally, the theoretical analysis and experimental results show the effectiveness of the method. |
| 英文摘要 | The constaints of time and memory will reduce the learning performance of Support Vector Machine (SVM) when it is used to solve the large number of samples. In order to solve this problem, a novel algorithm called Granular Support Vector Machine based on Mixed Kernel Function (GSVM-MKF) is proposed. Firstly, the granular method is propsed and then the judgment and extraction methods of support vector particles are given. On the above basis, we propose a new granular support vector machine learning model. Secondly, in order to further improve the performance of the granular support vector machine learning model, a mixed kernel function which effectively uses the global kernel function having the good generalization ability and the local kernel function having good learning ability is proposed. Finally, the theoretical analysis and experimental results show the effectiveness of the method. |
| 收录类别 | EI |
| 语种 | 英语 |
| 公开日期 | 2013-09-17 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/15456]  |
| 专题 | 软件研究所_软件所图书馆_期刊论文 |
| 推荐引用方式 GB/T 7714 | Huang Huajuan,Ding Shifei,Jin Fengxiang,et al. a novel granular support vector machine based on mixed kernel function[J]. International Journal of Digital Content Technology and its Applications,2012,6(20):484-492. |
| APA | Huang Huajuan,Ding Shifei,Jin Fengxiang,Yu Junzhao,&Han Youzhen.(2012).a novel granular support vector machine based on mixed kernel function.International Journal of Digital Content Technology and its Applications,6(20),484-492. |
| MLA | Huang Huajuan,et al."a novel granular support vector machine based on mixed kernel function".International Journal of Digital Content Technology and its Applications 6.20(2012):484-492. |
入库方式： OAI收割
来源：软件研究所
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