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《Mathematics in Practice and Theory》 2013-16
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Parameter Estimation of Nonlinear System Model Based on Artificial Bee Colony Algorithm

WANG Zhi-gang;School of Mathematics,Nanjing Normal University Taizhou College;  
In this paper,the artificial bee colony algorithm is used to estimate the parameters of nonlinear system model.The effectiveness o f the artificial bee colony algorithm is tested by parameter estimation of glutamic acid bacterium growth model.The optimum results of artificial bee colony algorithm method was compared with artificial neural network method,genetic algorithm method and particle swarm optimization method respectively.The experimental results show that the artificial bee colony algorithm method estimation precisions of parameters of nonlinear system model is higher than that of artificial neural network method,genetic algorithm method and particle swarm optimization method,provides an effective method to estimate parameters of nonlinear system model.
【Fund】: 南京师范大学泰州学院资助项目(Q201232)
【CateGory Index】: O212.1
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