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In order to solve the problem that the basic particle swarm algorithm to optimize the SVM model is easy to fall into local optimum in the late evolution, on the basis of studying mechanism of bacterial foraging theory, this paper proposes a method to improve the basic particle swarm by using bacterial foraging features, and applied it to optimize the parameters of SVM prediction model. The results show that it can remedy the defect of the basic particle swarm algorithm and has better optimization performance.