Dempster-Shafer theory-based robust least squares support vector machine for stochastic modelling | |
Zhou, Chuang; Lu, XinJiang; Huang, MingHui | |
刊名 | Neurocomputing
![]() |
2016 | |
卷号 | 182页码:145-153 |
关键词 | Modelling LS-SVM D-S theory Robustness Noise Fuzzy clustering |
ISSN号 | 0925-2312 |
DOI | 10.1016/j.neucom.2015.11.081 |
URL标识 | 查看原文 |
WOS记录号 | WOS:000370883200015;EI:20155201727121 |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/3345114 |
专题 | 中南大学 |
作者单位 | 1.[Huang, MingHui 2.Zhou, Chuang 3.Lu, XinJiang] Cent S Univ, State Key Lab High Performance Complex Mfg, Sch Mech & Elect Engn, Changsha 410083, Hunan, Peoples R China. |
推荐引用方式 GB/T 7714 | Zhou, Chuang,Lu, XinJiang,Huang, MingHui. Dempster-Shafer theory-based robust least squares support vector machine for stochastic modelling[J]. Neurocomputing,2016,182:145-153. |
APA | Zhou, Chuang,Lu, XinJiang,&Huang, MingHui.(2016).Dempster-Shafer theory-based robust least squares support vector machine for stochastic modelling.Neurocomputing,182,145-153. |
MLA | Zhou, Chuang,et al."Dempster-Shafer theory-based robust least squares support vector machine for stochastic modelling".Neurocomputing 182(2016):145-153. |
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