Toxic gas identification by support vector machine from SAW sensor array measurements

WANG Jianming LIU Xinlu YE Weiping

doi:10.16360/j.cnki.jbnuns.2017.02.008

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. DOI: 10.16360/j.cnki.jbnuns.2017.02.008

Citation:

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. DOI: 10.16360/j.cnki.jbnuns.2017.02.008

Citation:

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. DOI: 10.16360/j.cnki.jbnuns.2017.02.008

Toxic gas identification by support vector machine from SAW sensor array measurements

WANG Jianming LIU Xinlu YE Weiping

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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.

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Toxic gas identification by support vector machine from SAW sensor array measurements

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