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

Volume

2

fYear

2009

fDate

19-21 May 2009

Firstpage

526

Lastpage

529

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems, 2009. GCIS '09. WRI Global Congress on

Conference_Location

Xiamen

Print_ISBN

978-0-7695-3571-5

Type

conf

DOI

10.1109/GCIS.2009.398

Filename

5209368