DocumentCode
3366331
Title
Research on water quality comprehensive evaluation of water supply network using SOM
Author
Wu, Wenyan ; Chang, Kui ; Gao, Jinliang ; Zhang, Min ; Li, Nana ; Yuan, Yixing
Author_Institution
Eng. & Technol., Staffordshire Univ., Stafford
fYear
2009
fDate
26-29 March 2009
Firstpage
714
Lastpage
718
Abstract
Water quality comprehensive evaluation of water supply network was present in this paper. It is on the basis of microcosmic model in water supply network. The water quality indicators, by which the states of water quality are expressed, are selected as the input vector for the comprehensive evaluation model. The self-organizing feature map (SOM) and k-means arithmetic are adopted in the model. Since there are some problems using single indicator grade evaluation method, thus a comprehensive water quality evaluation method is proposed in this paper. The objective water quality evaluation model of water supply network is developed. In comparison to the single-evaluation indicator, both the single water quality monitoring data and the overall data are all considered in the model using SOM, which reflect the water quality distribution in the water supply network objectively.
Keywords
pattern recognition; self-organising feature maps; water quality; water supply; k-means arithmetic; self-organizing feature map; water quality comprehensive evaluation; water supply network; Algorithm design and analysis; Clustering algorithms; Clustering methods; Computational modeling; Computer networks; Information analysis; Neural networks; Neurons; Performance analysis; System performance; K-mean algorithm; Self-organizing Map (SOM); Water quality evaluation indicator; Water supply network;
fLanguage
English
Publisher
ieee
Conference_Titel
Networking, Sensing and Control, 2009. ICNSC '09. International Conference on
Conference_Location
Okayama
Print_ISBN
978-1-4244-3491-6
Electronic_ISBN
978-1-4244-3492-3
Type
conf
DOI
10.1109/ICNSC.2009.4919365
Filename
4919365
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