DocumentCode
515066
Title
An Intelligent System on Water Quality Remote Monitor and Water Bloom Prediction
Author
Wang Xiao-yi ; Xu Ji-ping ; Liu Zai-wen ; Dai Jun ; Zhu Shi-ping
Author_Institution
Sch. of Comput. & Inf., Beijing Technol. & Bus. Univ., Beijing, China
Volume
1
fYear
2010
fDate
13-14 March 2010
Firstpage
521
Lastpage
524
Abstract
An intelligent system on water quality GPRS remote monitor and water bloom prediction based on neural network are proposed in this paper, which can realize the automatic real-time monitor for the change of water quality and via the prediction by neural network for water bloom, thereby solve the lagging state of water quality monitor and the problem of water bloom prediction at present.
Keywords
environmental science computing; neural nets; packet radio networks; radiotelemetry; water quality; intelligent system; neural network; water bloom prediction; water quality GPRS remote monitor; Computer networks; Computerized monitoring; Electronic mail; Ground penetrating radar; Intelligent systems; Neural networks; Predictive models; Remote monitoring; Set theory; Temperature; GPRS; neural network; water bloom prediction; water quality;
fLanguage
English
Publisher
ieee
Conference_Titel
Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
Conference_Location
Changsha City
Print_ISBN
978-1-4244-5001-5
Electronic_ISBN
978-1-4244-5739-7
Type
conf
DOI
10.1109/ICMTMA.2010.518
Filename
5460257
Link To Document