Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering

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
https://doi.org/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/).

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Volume Title
Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering
Series
Advances in Intelligent Systems Research
Publication Date
April 2015
ISBN
978-94-62520-59-2
ISSN
1951-6851
DOI
https://doi.org/10.2991/isrme-15.2015.437How to use a DOI?
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  - https://doi.org/10.2991/isrme-15.2015.437
ID  - Qu2015/04
ER  -