• Electronics Optics & Control
  • Vol. 30, Issue 3, 1 (2023)
[in Chinese]1, [in Chinese]2, [in Chinese]2, [in Chinese]2, [in Chinese]3, and [in Chinese]4
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2023.03.001 Cite this Article
    [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese]. An Air Combat Target Intention Recognition Method Based on LSTM Improved by Attention Mechanism[J]. Electronics Optics & Control, 2023, 30(3): 1 Copy Citation Text show less
    References

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    [13] ZHOU T L, CHEN M, WANG H Y, et al.Information entropy-based intention prediction of aerial targets under uncertain and incomplete information[J].Entropy, 2020, 22(3):279.

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    [16] DENIL M, BAZZANI L, LAROCHELLE H, et al.Learning where to attend with deep architectures for image tracking[J].Neural Computation, 2012, 24(8):2151-2184.

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    [19] XU K, BA J L, KIROS R, et al.Show, attend and tell:neural image caption generation with visual attention[C]//Proceedings of the 32nd International Conference on Machine Learning.Lille:JMLR, 2015:2048-2057.

    [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese]. An Air Combat Target Intention Recognition Method Based on LSTM Improved by Attention Mechanism[J]. Electronics Optics & Control, 2023, 30(3): 1
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