• Electronics Optics & Control
  • Vol. 27, Issue 5, 68 (2020)
QI Yudong1, DING Haiqiang1, SI Weichao1, and LI Chengyu2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2020.05.014 Cite this Article
    QI Yudong, DING Haiqiang, SI Weichao, LI Chengyu. Naval Text Classification Model Based on Improved CNN[J]. Electronics Optics & Control, 2020, 27(5): 68 Copy Citation Text show less
    References

    [1] LECUN Y, BENGIO Y, HINTON G.Deep learning[J].Nature, 2015, 521(7553):436-444.

    [2] LECUN Y, BOTTOU L, BENGIO Y, et al.Gradient based learning applied to document recognition[J].Proceedings of the IEEE, 1998, 86(11):2278-2324.

    [3] KIM Y.Convolutional neural networks for sentence classification[C]//Proceedings of the Conference on Empirical Methods in Natural Language Processing, 2014:1746-1751.

    [4] LEVIN E.A recurrent neural network:limitations and training[J].Neural Networks, 1990, 3(6):641-650.

    [5] LAI S, XU L, LIU K, et al.Recurrent convolutional neural networks for text classification[C]//Proceedings of the 29th AAAI Conference on Artificial Intelligence, 2015:2267-2273.

    [6] ZHANG X, ZHAO J B, LECUN Y.Character-level convolutional networks for text classification[C]//Advances in Neural Information Processing Systems, 2015:649-657.

    [10] GANGULY D, ROY D, MITRA M, et al.Word embedding based generalized language model for information retrieval[C]//Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015:795-798.

    [16] MIKOLOV T, CHEN K, CORRADO G, et al.Efficient estimation of word representations in vector space[J].arXiv Preprint, arXiv:1301.3781, 2013.

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    QI Yudong, DING Haiqiang, SI Weichao, LI Chengyu. Naval Text Classification Model Based on Improved CNN[J]. Electronics Optics & Control, 2020, 27(5): 68
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