Study on least squares support vector machines algorithm and its application | |
Zhang, MG; Li, ZM; Li, WH | |
2005 | |
关键词 | least squares support vector machines (LS-SVM) SVM identification, soft-sensor modeling |
页码 | 686-688 |
英文摘要 | Support vector machines (SVM) is a novel machine learning method based on small-sample Statistical Learning Theory (SLT), and is powerful for the problem with small sample, nonlinearity, high dimension, and local minima.SVM have been very successful in pattern recognition fault diagnoses and function estimation problems. Least squares support vector machines (LS-SVM) is an SVM version which involves equality instead of inequality constraints and works with a least squares cost function. This paper discusses least squares support vector machines (LS-SVM) estimation algorithm and introduces applications of the novel method for the nonlinear control systems. Then identification of MIMO models and soft-sensor modeling based on least squares support vector machines (LS-SVM) is proposed. The simulation results show that the proposed method provides a powerful tool for identification and soft-sensor modeling and has promising application in industrial process applications. |
会议录 | ICTAI 2005: 17TH IEEE INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, PROCEEDINGS
![]() |
会议录出版者 | IEEE COMPUTER SOC |
会议录出版地 | 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA |
语种 | 英语 |
WOS研究方向 | Computer Science |
WOS记录号 | WOS:000234632500112 |
内容类型 | 会议论文 |
源URL | [http://119.78.100.223/handle/2XXMBERH/38303] ![]() |
专题 | 电气工程与信息工程学院 |
作者单位 | Lanzhou Univ Technol, Sch Elect & Informat Engn, Lanzhou 730050, Peoples R China |
推荐引用方式 GB/T 7714 | Zhang, MG,Li, ZM,Li, WH. Study on least squares support vector machines algorithm and its application[C]. 见:. |
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