科研成果详情

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
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
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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
被引频次:3[WOS]   [WOS记录]     [WOS相关记录]
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.
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