北京师范大学学报（自然科学版）2017，Vol.53Issue(2)：159-164,6.DOI:10.16360/j.cnki.jbnuns.2017.02.008
基于支持向量机的SAW传感器阵列鉴别毒害气体的研究
Toxic gas identification by support vector machine from SAW sensor array measurements
王建明 1刘鑫璐 2叶卫平1
作者信息
- 1. 北京师范大学信息科学与技术学院,100875,北京
- 2. 中国科学院声学研究所,100080,北京
- 折叠
摘要
Abstract
This paper applies the support vector machine technology to train and classify gas feature vectors and measured samples from the surface acoustic wave (SAW) sensor.The objective is to identify toxic gas from gas samples.Experimental results verify the feasibility and effectiveness of this solution.关键词
支持向量机/SAW/传感器阵列Key words
support vector machine/surface acoustic wave(SAW)/sensor array分类
信息技术与安全科学引用本文复制引用
王建明,刘鑫璐,叶卫平..基于支持向量机的SAW传感器阵列鉴别毒害气体的研究[J].北京师范大学学报（自然科学版）,2017,53(2):159-164,6.
