Parameter Estimation of Water Quality Model Using Particle Swarm Optimization Technique
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.
Water quality model Parameter estimation Particle swarm optimization Dissolved ozygen Biochemical ozygen demand
Ke Wang Xiaodong Wang Li Shen
Department of Electronic Engineering, Zhejiang Normal University, Jinhua 321004, P.R. China
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
1209-1214
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）