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《Mathematics in Practice and Theory》 2008-11
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Grey GM(1,1) Model Based on Chaotic Particle Swarm Optimization Algorithm and Its Application in Groundwater Dynamic Prediction

GAI Zhao-mei1,FU Qiang1,LIU Ren-tao2(1.College of Water Conservancy and Building Engineering,Northeast Agricultural University,Harbin 150030,China)(2.Heilongjiang College of Construction,Harbin 150025,China)  
Combining chaos optimization algorithm with particle swarm optimization algorithm,the new algorithm that chaotic particle swarm optimization algorithm is established.Taking advantage of chaotic ergodicity,it can avoid trapping into the local optimum.At the same time,the convergence rate is accelerated by particle swarm optimization algorithm.The parameters of grey GM(1,1) model are optimized by chaotic particle swarm optimization algorithm.Predict precision of the model is examined by two ways,and the result shows that the optimized effect is good and the predict precision of the model is improved.The model predicts the groundwater deep of Sanjiang Plain.The predictive result can provide reference for the relevant decisionmaking department.
【Fund】: 国家自然科学基金项目(0400275)
【CateGory Index】: O415.5;O224
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