Title :
An Intelligent System on Water Bloom Remote Monitor and Predication
Author :
Xiaoyi, Wang ; Zaiwen, Liu ; Qiaomei, Wu ; Wandong, Li ; Shiping, Zhu
Author_Institution :
Sch. of Inf. Eng., Beijing Technol. & Bus. Univ., Beijing, China
Abstract :
According to lagging state of water quality monitor and the problems of the difficult of water bloom prediction, water bloom remote monitor and prediction system based on BP neural network are proposed in this paper. This system can realize the automatic real-time monitor for the change of water quality and via the prediction by neural network for water bloom; it can provide a kind of efficient and practical system for water environment control.
Keywords :
backpropagation; environmental factors; geophysics computing; hydrological techniques; neural nets; water quality; BP neural network; automatic real-time monitor; intelligent system; water bloom remote monitor-prediction system; water environment control; water quality change; Computerized monitoring; Intelligent networks; Intelligent systems; Neural networks; Predictive models; Protection; Remote monitoring; Sampling methods; Temperature; Time measurement; GPRS; neural network; water bloom prediction; water quality monitor;
Conference_Titel :
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3571-5
DOI :
10.1109/GCIS.2009.398
