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
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;
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
DOI :
10.1109/ICMTMA.2010.518
