Improvement of the regression model for spindle thermal elongation by a Boosting-based outliers detection approach | |
Lei, Mohan; Jiang, Gedong; Yang, Jun; Mei, Xuesong; Xia, Ping; Shi, Hu | |
刊名 | International Journal of Advanced Manufacturing Technology |
2018 | |
卷号 | 99页码:1389-1403 |
关键词 | Boosting Environmental disturbances Generalization ability Optimal parameter settings Outlier Detection Regression algorithms Spindle Thermal elongation |
ISSN号 | 0268-3768 |
URL标识 | 查看原文 |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/2921065 |
专题 | 西安交通大学 |
推荐引用方式 GB/T 7714 | Lei, Mohan,Jiang, Gedong,Yang, Jun,et al. Improvement of the regression model for spindle thermal elongation by a Boosting-based outliers detection approach[J]. International Journal of Advanced Manufacturing Technology,2018,99:1389-1403. |
APA | Lei, Mohan,Jiang, Gedong,Yang, Jun,Mei, Xuesong,Xia, Ping,&Shi, Hu.(2018).Improvement of the regression model for spindle thermal elongation by a Boosting-based outliers detection approach.International Journal of Advanced Manufacturing Technology,99,1389-1403. |
MLA | Lei, Mohan,et al."Improvement of the regression model for spindle thermal elongation by a Boosting-based outliers detection approach".International Journal of Advanced Manufacturing Technology 99(2018):1389-1403. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论