Application in nonlinear regression of adaptive particle swarm optimization
作者
Yang Xiao-hong
摘要
An adaptive weights adjustment algorithm for particle swarm optimization is adopted to optimize the parameters of nonlinear regression model in this paper.The adaptive particle swarm optimization is used to solve the parameters of enzyme catalytic reaction.Compared with linearation,nonlinear least square and standard particle swarm optimization,the results show that nonlinear regression equation based on adapative particle swarm optimization has higher precision.