| 基于支持向量机的SAW传感器阵列鉴别毒害气体的研究 |
| |
| 引用本文： | 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. |
| |
| 作者姓名： | 王建明 刘鑫璐 叶卫平 |
| |
| 作者单位： | 北京师范大学信息科学与技术学院,100875,北京;中国科学院声学研究所,100080,北京 |
| |
| 基金项目： | 中国科学院声学研究所合作资助项目 |
| |
| 摘 要： | 采用支持向量机技术, 对声表面波传感器阵列检测出的气体特征矢量和被测样本信息进行训练和分类, 鉴别出被测气体中的毒害气体. 实验结果验证了方案的可行性和有效性.
|
| 关 键 词： | 支持向量机 SAW 传感器阵列 |
Toxic gas identification by support vector machine from SAW sensor array measurements |
| |
| WANG Jianming,LIU Xinlu,YE Weiping.Toxic gas identification by support vector machine from SAW sensor array measurements[J].Journal of Beijing Normal University(Natural Science),2017,53(2):159-164. |
| |
| Authors: | WANG Jianming LIU Xinlu YE Weiping |
| |
| Institution: | 1)College of Information and Technology,Beijing Normal University,100875,Beijing,China;
2)Institute of Acoustics,Chinese Academy of Science,100080,Beijing,China |
| |
| 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. |
| |
| Keywords: | support vector machine surface acoustic wave(SAW) sensor array |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《北京师范大学学报(自然科学版)》浏览原始摘要信息 |
| 点击此处可从《北京师范大学学报(自然科学版)》下载免费的PDF全文 |
