Application of SVM Based on Improved Grid Search in Quantitative Analysis of CO2 Gas
Authors
Jian Qu, Hongyan Chen, Wenzhen Liu, Bing Zhang, Zhibin Li
Corresponding Author
Jian Qu
Available Online April 2015.
- DOI
- 10.2991/isrme-15.2015.437How to use a DOI?
- Keywords
- SVM; grid search; gas sensor; exhaust emission.
- Abstract
According to the difficult in selecting parameter of SVM when modeling on the gas quantitative analysis,and existing methods need long time,SVM optimized by improved grid search method was proposed to built an infrared spectrum quantitative analysis of gas.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 18 different concentrations of CO2 in the range between 1%~25%. The experiment results show that this method gets c=1,g=1,cvMSE=0.00413.And the prediction error is less than 4%, in line with national standards for exhaust emissions.
- 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 - Jian Qu AU - Hongyan Chen AU - Wenzhen Liu AU - Bing Zhang AU - Zhibin Li PY - 2015/04 DA - 2015/04 TI - Application of SVM Based on Improved Grid Search in Quantitative Analysis of CO2 Gas BT - Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering PB - Atlantis Press SP - 2111 EP - 2114 SN - 1951-6851 UR - https://doi.org/10.2991/isrme-15.2015.437 DO - 10.2991/isrme-15.2015.437 ID - Qu2015/04 ER -