• Electronics Optics & Control
  • Vol. 21, Issue 12, 36 (2014)
HAO Zhi-wei1, WU Yong1, ZHANG Jian-dong1, and YU Fang2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2014.12.008 Cite this Article
    HAO Zhi-wei, WU Yong, ZHANG Jian-dong, YU Fang. Aerial Target Identification Based on BP Neural Networks and Improved Combination Evidence Rule[J]. Electronics Optics & Control, 2014, 21(12): 36 Copy Citation Text show less
    References

    [1] HE Y,WANG G H,LU D J,et al.Multisensor information fusion and its applications[M].Beijing: Publishing House of Electronics Industry, 2007.

    [2] YANG F P,BAI Z X.Target recongnition method based on combination of BP neural networks with D-S evidence theory[J].Fire Control and Command Control, 2006, 31(10): 89-90.

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    [4] YANG W H.Multisensor data fusion and its applications[M].Xian: Xidian University Press, 2004.

    [5] YANG F B,WANG X X.Conflict evidence combination method in D-S evidence theory[M].Beijing: National Defense Industry Press, 2010.

    [6] CHEN Y X.The airborne multi-sensor target threat assessment based on data fusion[D].Shanghai: Shanghai Jiao Tong University, 2013.

    [7] MURPHY C K.Combining belief functions when evidence conflicts[J].Decision Support System, 2000,29(1): 1-9.

    [8] LI L R,SHEN C L,WANG C Q.Recognition method of aerial target based on BP neural network[J].Fire Control and Command Control, 2012, 37(12): 132-135, 139.

    [9] XUE J,JING Z R.Algorithm of recognition for radar target based on D-S evidence theory[J].Computer Measurement & Control, 2007, 15(2): 212-213.

    [10] WANG D.The airborne multi-sensor target recognition based on data fusion[D].Shanghai: Shanghai Jiao Tong University, 2010.

    HAO Zhi-wei, WU Yong, ZHANG Jian-dong, YU Fang. Aerial Target Identification Based on BP Neural Networks and Improved Combination Evidence Rule[J]. Electronics Optics & Control, 2014, 21(12): 36
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