现代电子技术2011，Vol.34Issue(8)：167-169,173,4.
基于支持向量机的隧道空间光环境质量软测量
Soft-sensing of Optical Environmental Quality in Tunnel Space Based on Support Vector Machine
霍雅婷 1段中兴1
作者信息
- 1. 西安建筑科技大学,信息与控制工程学院,陕西西安,710055
- 折叠
摘要
Abstract
The key technology of soft-sensing is to establish an excellent soft-measurement mathematical model. Least squares support vector machine (LS-SVM) for its good generalization has been applied to soft sensor modeling. On the basis of analyzing the influencing factors of optical environment quality in the tunnel space, a soft-measurement method of optical environment quality in tunnel space is proposed based on the modeling of least squares support vector machine. The corre-sponding system architecture and algorithm are given in this paper. Simulation results show that LS-SVM-based soft sensor can predict the optical environment quality in tunnel space, and is an effective method of soft sensor modeling.关键词
光环境质量/软测量/最小二乘支持向量机/隧道空间Key words
optical environment quality/ soft measurement/ least squares support vector machine/ tunnel space分类
信息技术与安全科学引用本文复制引用
霍雅婷,段中兴..基于支持向量机的隧道空间光环境质量软测量[J].现代电子技术,2011,34(8):167-169,173,4.
