Application of SVM in Gas Sensor: Quantitative Analysis of CO2
- DOI
- 10.2991/ap3er-15.2015.22How to use a DOI?
- Keywords
- SVM;grid search;gas sensor;infrared spectrum.
- Abstract
Objecttive:According to the difficult in selecting parameter of SVM when modeling on the gas quantitative analysis,and existing methods need long time to finish,SVM optimized by improved grid search method was proposed to built a model to quantitatively analyse infrared spectrum of CO2 gas. Methods:We analyze 15 samples of CO2 gas at concentrations ranging from 500 ppm to 18% based on SVM .According to this method,the spectrum data of CO2 is optimized.The kernel function leads SVM and calculate the concentration.By using improved grid search, quantitatively analyzed 15 different concentrations of CO2 in the range between 500 ppm~18%. Results:The experiment results show that this method gets c=1.412,g=0.25.And the prediction error is less than 5%.Conclusion:And method of grid search combined with SVM has a certain potential for development and mining space in gas quantitative analysis modeling in the infrared spectrum of CO2 gas
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - HongYan Chen AU - WenZhen Liu AU - Jian Qu AU - ZhiBin Li PY - 2015/06 DA - 2015/06 TI - Application of SVM in Gas Sensor: Quantitative Analysis of CO2 BT - Proceedings of the 2015 Asia-Pacific Energy Equipment Engineering Research Conference PB - Atlantis Press SP - 91 EP - 94 SN - 2352-5401 UR - https://doi.org/10.2991/ap3er-15.2015.22 DO - 10.2991/ap3er-15.2015.22 ID - Chen2015/06 ER -