A novel LS-SVMs hyper-parameter selection based on particle swarm optimization
文献类型：期刊论文
| 作者 | Guo, X. C.1,2; Yang, J. H.1; Wu, C. G.1,3; Wang, C. Y.1; Liang, Y. C.1 |
| 刊名 | NEUROCOMPUTING
 |
| 出版日期 | 2008-10-01 |
| 卷号 | 71期号:16-18页码:3211-3215 |
| 关键词 | Least-squares support vector machines Parameter selection Particle swarm optimization Classification |
| 英文摘要 | The selection of hyper-parameters plays an important role to the performance of least-squares support vector machines (LS-SVMs). In this paper, a novel hyper-parameter selection method for LS-SVMs is presented based on the particle swarm optimization (PSO). The proposed method does not need any priori knowledge on the analytic property of the generalization performance measure and can be used to determine multiple hyper-parameters at the same time. The feasibility of this method is examined on benchmark data sets. Different kinds of kernel families are investigated by using the proposed method. Experimental results show that the best or quasi-best test performance could be obtained by using the scaling radial basis kernel function (SRBF) and RBF kernel functions, respectively. (C) 2008 Elsevier B.V. All rights reserved. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence |
| 研究领域[WOS] | Computer Science |
| 关键词[WOS] | SUPPORT VECTOR MACHINE ; LEAST-SQUARES ; MODEL SELECTION ; GENETIC ALGORITHMS ; CLASSIFICATION ; REGRESSION ; BOUNDS ; CLASSIFIERS ; KERNELS ; LSSVM |
| 收录类别 | ISTP ; SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000260066100020 |
| 公开日期 | 2015-12-24 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/9558]  |
| 专题 | 自动化研究所_09年以前成果 |
| 作者单位 | 1.Jilin Univ, Coll Comp Sci & Technol, Key Lab Symbol Computat & Knowledge Engn, Minist Educ, Changchun 130012, Peoples R China 2.NE Dianli Univ, Coll Sci, Jilin 132012, Peoples R China 3.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100080, Peoples R China |
| 推荐引用方式 GB/T 7714 | Guo, X. C.,Yang, J. H.,Wu, C. G.,et al. A novel LS-SVMs hyper-parameter selection based on particle swarm optimization[J]. NEUROCOMPUTING,2008,71(16-18):3211-3215. |
| APA | Guo, X. C.,Yang, J. H.,Wu, C. G.,Wang, C. Y.,&Liang, Y. C..(2008).A novel LS-SVMs hyper-parameter selection based on particle swarm optimization.NEUROCOMPUTING,71(16-18),3211-3215. |
| MLA | Guo, X. C.,et al."A novel LS-SVMs hyper-parameter selection based on particle swarm optimization".NEUROCOMPUTING 71.16-18(2008):3211-3215. |
入库方式： OAI收割
来源：自动化研究所
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