Electro-Optic Technology Application, Volume. 31, Issue 4, 66(2016)

Research on the Application of Intensive Hierarchical Convolution Neural Network Model in Target Recognition

SHI Tian-yu1... HU Yu-lan1, SUN Jia-min1 and YUAN De-peng2 |Show fewer author(s)
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    References(5)

    [1] [1] Cun Y Le, Boser B, Denker J S, et al. Back propagation applied to handwritten zip code recognition[J]. Neural Computation, 1989.

    [2] [2] Deng J, Dong W, Socher R, et al. Image net: A large-scale hierarchical image database[J]. CVPR, 2009.

    [3] [3] Krizhevsky A, Sutskever I, Hinton G. Imagenet classification with deep convolutional neural networks[J]. NIPS, 2012.

    [4] [4] Zeiler M D, Fergus R. Visualizing and understanding convolutional neural networks[J]. ArXiv, 2013:1311, 2901.

    [5] [5] Sermane P , Eigen D, Zhang X, et al. Overfeat: integrated recognition, localization and detection using convolutional networks[J]. ArXiv, 2013:1312, 6229.

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    SHI Tian-yu, HU Yu-lan, SUN Jia-min, YUAN De-peng. Research on the Application of Intensive Hierarchical Convolution Neural Network Model in Target Recognition[J]. Electro-Optic Technology Application, 2016, 31(4): 66

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    Paper Information

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    Received: Aug. 18, 2016

    Accepted: --

    Published Online: Oct. 24, 2016

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    CSTR:32186.14.

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