Optimization of fixture layouts of glass laser optics using multiple kernel regression
文献类型：期刊论文
| 作者 | Su, Jianhua ; Cao, Enhua; Qiao, Hong
|
| 刊名 | APPLIED OPTICS
 |
| 出版日期 | 2014-05-10 |
| 卷号 | 53期号:14页码:2988-2997 |
| 英文摘要 | We aim to build an integrated fixturing model to describe the structural properties and thermal properties of the support frame of glass laser optics. Therefore, (a) a near global optimal set of clamps can be computed to minimize the surface shape error of the glass laser optic based on the proposed model, and (b) a desired surface shape error can be obtained by adjusting the clamping forces under various environmental temperatures based on the model. To construct the model, we develop a new multiple kernel learning method and call it multiple kernel support vector functional regression. The proposed method uses two layer regressions to group and order the data sources by the weights of the kernels and the factors of the layers. Because of that, the influences of the clamps and the temperature can be evaluated by grouping them into different layers. (C) 2014 Optical Society of America |
| WOS标题词 | Science & Technology ; Physical Sciences |
| 类目[WOS] | Optics |
| 研究领域[WOS] | Optics |
| 关键词[WOS] | SUPPORT VECTOR REGRESSION ; HAPTIC DISPLAY ; MACHINE ; MIRROR ; ALGORITHMS ; DESIGN |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000336806200006 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/3023]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_机器人应用与理论组 |
| 作者单位 | Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Su, Jianhua,Cao, Enhua,Qiao, Hong. Optimization of fixture layouts of glass laser optics using multiple kernel regression[J]. APPLIED OPTICS,2014,53(14):2988-2997. |
| APA | Su, Jianhua,Cao, Enhua,&Qiao, Hong.(2014).Optimization of fixture layouts of glass laser optics using multiple kernel regression.APPLIED OPTICS,53(14),2988-2997. |
| MLA | Su, Jianhua,et al."Optimization of fixture layouts of glass laser optics using multiple kernel regression".APPLIED OPTICS 53.14(2014):2988-2997. |
入库方式： OAI收割
来源：自动化研究所
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