题名 | A new soft sensor method based on SVM |
作者 | |
发表日期 | 2006 |
会议名称 | IEEE International Conference on Granular Computing |
会议录名称 | 2006 IEEE International Conference on Granular Computing
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页码 | 546-549 |
会议日期 | MAY 10-12, 2006 |
会议地点 | Atlanta, GA |
摘要 | This paper proposes a soft sensor technique based on support vector machine(SVM) technique, firstly gives an introduction to LSSVM, then designs a training algorithm for LSSVM, finally uses it to identify Absorption Stabilization System (ASS) process variable. Case studies are performed and indicate that the proposed method provides satisfactory performance with excellent approximation and generalization property, soft sensor technique based on LSSVM achieves superior performance to the conventional method based on neural networks. © 2006 IEEE. |
关键词 | Least square support vector machine Soft sensor Training algorithm |
URL | 查看来源 |
收录类别 | CPCI-S |
语种 | 英语English |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods |
WOS记录号 | WOS:000238353400119 |
Scopus入藏号 | 2-s2.0-33751073949 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | https://repository.uic.edu.cn/handle/39GCC9TT/9220 |
专题 | 个人在本单位外知识产出 |
通讯作者 | Zhang, Haoran |
作者单位 | School of Information Science and Engineering,Zhejiang Normal University,Jinhua, 321004,China |
推荐引用方式 GB/T 7714 | Zhang, Haoran,Wang, Xiaodong,Zhang, Changjianget al. A new soft sensor method based on SVM[C], 2006: 546-549. |
条目包含的文件 | 条目无相关文件。 |
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