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BP-AdaBoost模型在光纤陀螺零偏温度补偿中的应用

刘元元 杨功流 李思宜

刘元元, 杨功流, 李思宜等 . BP-AdaBoost模型在光纤陀螺零偏温度补偿中的应用[J]. 北京航空航天大学学报, 2014, 40(2): 235-239.
引用本文: 刘元元, 杨功流, 李思宜等 . BP-AdaBoost模型在光纤陀螺零偏温度补偿中的应用[J]. 北京航空航天大学学报, 2014, 40(2): 235-239.
Liu Yuanyuan, Yang Gongliu, Li Siyiet al. Application of BP-AdaBoost model in temperature compensation for fiber optic gyroscope bias[J]. Journal of Beijing University of Aeronautics and Astronautics, 2014, 40(2): 235-239. (in Chinese)
Citation: Liu Yuanyuan, Yang Gongliu, Li Siyiet al. Application of BP-AdaBoost model in temperature compensation for fiber optic gyroscope bias[J]. Journal of Beijing University of Aeronautics and Astronautics, 2014, 40(2): 235-239. (in Chinese)

BP-AdaBoost模型在光纤陀螺零偏温度补偿中的应用

基金项目: 国家安全重大基础研究资助项目(613186);中央高校基本科研业务费专项资金资助项目(YWF-10-01-B30)
详细信息
  • 中图分类号: V241.5

Application of BP-AdaBoost model in temperature compensation for fiber optic gyroscope bias

  • 摘要: 针对光纤陀螺零偏漂移随温度呈复杂的非线性变化,建立了BP-AdaBoost(Back Propagation neural network,Adaptive Boosting)模型对零偏进行补偿,改善了光纤陀螺的零偏稳定性能.同时,研究了模型参数对预测精度的影响,给出了BP神经网络隐含层神经元个数的选择以及AdaBoost模型迭代次数的确定方法.运用AdaBoost算法提升单个BP神经网络的预测能力,提高了集成模型整体的预测精度.对采集的光纤陀螺输出实测数据进行了事后仿真,结果表明,BP-AdaBoost模型相比传统的线性回归模型、混合线性回归模型、单个BP神经网络模型的补偿效果更显著,验证了该模型的有效性,具有重大的工程应用参考价值.

     

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出版历程
  • 收稿日期:  2013-04-19
  • 网络出版日期:  2014-02-20

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