Multi-source monitoring data fusion and assessment model on water environment

Proceedings of 2004 International Conference on Machine Learning and Cybernetics

Volumn 4, Issue , 2004, Pages 2505-2510

  Lin, Zhi Gui ^a   Xu, Li Zhong ^a   Huang, Feng Chen ^a   Zhou, Jin Ling ^a  

^a HOHAI UNIVERSITY   (China)

Author keywords

BP network; D S theory; Data fusion; Water environment assessment

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTATIONAL COMPLEXITY; DATA REDUCTION; ENVIRONMENTAL IMPACT; MATHEMATICAL MODELS; PROBABILITY DISTRIBUTIONS; SENSOR DATA FUSION;

BP NETWORKS; D-S THEORY; DATA FUSION; WATER ENVIRONMENT ASSESSMENT;

WATER QUALITY;

EID: 6344253156     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. L. Houston, M.T. Barbour, D. Lenat, et al, A multi-agency comparison of aquatic macroinvertebrate-based stream bioassessment methodologies, Ecological Indicators, Vol 1, pp. 279 - 292, 2002
2. Shi Hong, Sun Xinzhong, Fan Jianhua, et al, Methods and techniques of water quality analysis, Earthquake Press, Beijing, 2001
3. Xu Li-Zhong, Lin Zhi-Gui, Huang Feng-Chen. Architecture of aquatic environment automatic monitoring system based on information fusion. Journal of Hohai University (Natural Sciences), Vol 31, No. 6, pp. 694 - 697, 2003 (in Chinese)
4. V. Simeonov, S. Stefanov and S. Tsakovski, Environmetrical treatment of water quality survey data from Yantra River, Bulgaria, Mikrochim. Acta, No. 134, pp. 15 - 21, 2000
5. E. Loke, E. A. Warnaars, P. Jacobsen, et al, Artificial neural networks as a fool in urban storm damage, Water Science &Technology, Vol 36, No. 8 - 9, pp. 101-110, 1997
6. H. Varma, K. Fadaie, M. Habbane, et al, Confusion in data fusion, International Journal of Remote Sensing, Vol 24, No. 4, pp. 627 - 636, 2003
7. A P Dempster, Upper and lower probabilities induced by a multi-valued mapping, Annals of Mathematical Statistics, Vol 38, pp. 325 - 339, 1967
8. G Shafer, A mathematical theory of evidence, Princeton, N J: Princeton U P, 1976
9. Luo Zhizeng, Jiang Jingping, Multisensor data fusion based on Dempster-Shafer evidential reasoning and its application, ACTA Electronica Sinica, Vol 27, No. 9, pp. 100 - 102, 1999
10. Lin Zhi-Gui, Xu Li-Zhong, Huang Feng-Chen, Wang Hong-Yan. Multi-source water quality monitoring data fusion based on D-S theory. Computer Engineering and Applications, Vol 40, No. 10, 3 - 5, 2004 (in Chinese)
11. Zhang Shuqing, Deng Hong, Wang Yanling, Application and improvement of D-S evidential reasoning theory in data fusion, Chinese Journal of Sensors and Actuators, Vol 16, No. 1, pp. 78 - 81, 2003
12. Huang Shengwei, Dong Manling, Application of adaptive variable step size BP network to evaluate water quality, Journal of Hydraulic Engineering, Vol 10, No. 10, pp. 119 - 123, 2002
13. Dai Guanzhong, Pan Quan, Zhang Shanying and Zhang Hongcai, The developments and problems in evidence reasoning, Control Theory &Applications, Vol 16, No. 4, pp. 465 - 469, 1999
14. Zhang Shanying, Pan Quan, Zhang Hongcai, A new kind of combination rule of evidence theory, Control and Decision, Vol 15, No. 5, pp. 540 - 544, 2000
15. E. Lefevre, O. Colot, P. Vannoorenberghe, Belief function combination and conflict management, Information Fusion, Vol 3, pp. 149 - 162, 2002
16. Audun Josang, The consensus operator for combining beliefs, Artificial Intelligence, Vol 141, pp. 157-170, 2002
17. Catherine K. M urphy, Combining belief functions when evidence conflicts, Decision Support Systems, Vol 29, pp. 1 - 9, 2000