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《Journal of Chengdu University of Technology(Science & Technology Edition)》 2007-06
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BP neural network model reference adaptive control system based on the particle swarm optimizer

CHEN Ling1,YAN Hai-bo2,MAO Wan-biao31.College of Information Management,Chengdu University of Technology,Chengdu 610059,China;2.Xinjiang Institute of Finance & Economics,Urumqi 830012,China;3.Department of Technology of XSLC,Xichang 615000,China  
In this paper,PSO-BP NN is used as the controller of model reference adaptive control system,the mean square error of the reference model output and the model reference adaptive control system factual output as the adaptive function,and then,the mean square error is minimized by the search capability of PSO.The simulation results show astringency and precision and adaptability of PSO-BP NN model reference adaptive control system are fine.The output of PSO-BP NN model reference adaptive control system can follow up the scent of the reference model output very well.
【Fund】: 数学地质四川省高校重点实验室资助;; 教育部博士点基金资助项目(20040616005);; 四川省科技厅应用基础项目(05JY029-087-1);; 四川省教育厅自然科学重点项目(2003-156);; 地质灾害防治与地质环境保护国家重点实验室开放基金资助项目(GZ2005-09)
【CateGory Index】: O233
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