DocumentCode :
2792264
Title :
Parameter estimation of water quality model using particle swarm optimization technique
Author :
Wang, Ke ; Wang, Xiaodong ; Shen, Li
Author_Institution :
Dept. of Electron. Eng., Zhejiang Normal Univ., Jinhua, China
fYear :
2009
fDate :
17-19 June 2009
Firstpage :
1209
Lastpage :
1214
Abstract :
In this paper, a new method for solving the parameter estimation problem of water quality model using improved PSO technique is presented. In the improved PSO, the inertial weight decreasing function is a parabola opening upwards rather than the popular linearly decreasing line. In order to demonstrate the scheme, numerical experiments were operated on dissolved oxygen (DO) and biochemical oxygen demand (BOD) model. The results show that the proposed method is still effective even if there is the case of additive noise to exact data.
Keywords :
biochemistry; oxygen; parameter estimation; particle swarm optimisation; water quality; additive noise; biochemical oxygen demand; dissolved oxygen; inertial weight decreasing function; parameter estimation; particle swarm optimization technique; water quality model; Board of Directors; Calibration; Chemicals; Inverse problems; Mathematical model; Parameter estimation; Particle swarm optimization; Predictive models; Rivers; Water pollution; Biochemical oxygen demand; Dissolved oxygen; Parameter estimation; Particle swarm optimization; Water quality model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
Type :
conf
DOI :
10.1109/CCDC.2009.5192418
Filename :
5192418
Link To Document :
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