Research on the assessment for air environment quality based on support vector machine

2009 Chinese Control and Decision Conference, CCDC 2009

Volumn , Issue , 2009, Pages 4753-4757

  Haifeng, Wang ^a   Jun, Fang ^a   Chong, Gao ^a  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

Author keywords

Air environment quality; Assessment; Support vector machine (SVM)

Indexed keywords

AIR ENVIRONMENT; AIR ENVIRONMENT QUALITY; APPLICATION EXAMPLES; ASSESSMENT; HEBEI PROVINCE; SUPPORT VECTOR CLASSIFICATION; SUPPORT VECTOR MACHINE (SVM); SUPPORT VECTOR REGRESSIONS;

IMAGE RETRIEVAL; VECTORS;

SUPPORT VECTOR MACHINES;

EID: 70449394284     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCDC.2009.5194848     Document Type: Conference Paper

References (15)

1. Li Z Y, Ding J, Peng L H. Principle and Method of Environment Quality Assessment [M]. Beijing: Chemical Industry Press, 2004, 3:69-209.
2. NIU Dongxiao, WANG Haifeng, CHENG Gong. Assessment for air environment quality in Hebei province by BP neural network [C]. Proceedings of 2006 Chinese Control and Decision Conference. Northeastern University Press, 2006, 5:1 125-1127.
3. Fang Ruiming. Theory and Application Analysis of Support Vector Machine [M]. Beijing: China Electric Power Press, 2007: 1-15.
4. Li Zuoyong, Wang Jiayang, Xiong Jianqiu, Xu Tingting. Models and Applications of Sustainable Development Assessment [M]. Beijing: Science Press, 2007:270-298.
5. Environment Protection Bureau of Hebei Province. Bulletin about Environment Condition of Hebei Province from 2005 to 2006.
6. Sun Wei, Yang Chenguang. Project Investment Evaluation in Pumped Storage Power Station Based on SVM [C]. Proceedings of 2006 International Research Symposium on Advancement Construction Management and Real Estate. 2006, 11: 895-899.
7. Wang Xiumei, Cui Yanbin, Yang Chenguan. Efficiency Evaluation for University Laboratory Based on Multi-layer SVM [C]. Proceeding of ICNC2007 Conference. Haikou, 2007, 8:558-561.
8. Qi H. N. Support Vector Machines and Application Research Overview [J]. Computer Engineering, 2003, 5: 6-9.
9. Wang Qiang. Intelligent Decision-making Method Based on the Support Vector Machine [J]. System Project. 2005, 23(10): 111-116.
10. XIONG Jianqiu, LI Zuoyong. Sediment-carrying capacity forecasting based on support vector machine [J]. Shui Li Xue Bao, 2005, 10: 1171-1175.
11. LIANG Hongbin, YAN Zhengjun. Pattern Recognition Based on Support Vector Machine [J]. Modern Electronic Technique, 2007, 16: 193-194.
12. LUO Xuehui, LI Xia, ZHANG Jihong. Introduction to Support Vector Machine and Its Applications [J]. Journal of Shenzhen University, 2003, 3: 40-46.
13. NIU Dongxiao, WANG Xiumei. Evaluation study and application based on analytic hierarchy process and support vector machine [J]. Journal of North China Electric Power University, 2008, 5: 95-98.
14. FENG Zhenhua, YANG Jieming, Practical Selection of Support Vector Machine Parameters for SVM Regression [J]. Mechanical Engineering & Automation, 2007, 3: 17-18.
15. PAN Feng, CHENG Haozhong, YANG Jingfei, ZHANG Cheng, PAN Zhendong. Power System Short-term Load Forecasting Based on Support Vector Machines [J]. Power System Technology, 2004, 11: 39-42.