• Infrared and Laser Engineering
  • Vol. 50, Issue 6, 20200352 (2021)
Yinbo Zhang1, Sining Li1, Peng Jiang2, and Jianfeng Sun1、3
Author Affiliations
  • 1National Key Laboratory of Science and Technology on Tunable Laser, Institute of Opto-Electronic, Harbin Institute of Technology, Harbin 150001, China
  • 2Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory, Beijing 100074, China
  • 3Harbin Institute of Technology (Beijing) Industrial Technology Innovation Research Institute Co., Ltd, Beijing 101312, China
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    DOI: 10.3788/IRLA20200352 Cite this Article
    Yinbo Zhang, Sining Li, Peng Jiang, Jianfeng Sun. Underwater bubbles recognition based on PCA feature extraction and elastic BP neural network[J]. Infrared and Laser Engineering, 2021, 50(6): 20200352 Copy Citation Text show less
    References

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    [2] Jun Wan, Xiaohui Zhang, Jionghui Rao, et al. Processing of backscattering signal of warship wake flow based on indep- endent component analysis. Infrared and Laser Enginee- ring, 42, 244-250(2013).

    [3] Xiaolei Peng, Aoling Ma, Yimin Liu. The study on backward optical detection method for ship wake bubbles. Ship Science and Technology, 38, 133-135(2016).

    [4] Shanyong Liang, Jiang’an Wang, Siguang Zong, et al. Laser detection method of ship wake bubbles based on multiple scattering intensity and polarization characteristics. Acta Physica Sinica, 62, 87-97(2013).

    [5] Biao Han, Jifang Liu, Kunlun Liu, et al. Study of backward optical detection method for ship wake bubbles. Acta Optica Sinica, 32, 0101001(2012).

    [6] Tao Liu, Jiang’an Wang, Siguan Zong, et al. Experimental study of laser-generated cavitation bubble motion near a free liquid surface. Acta Optica Sinica, 32, 0714003(2012).

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    [9] Bing Xie, Zhemin Duan. UAV target recognition algorithm based on fusion of SAE and bottom visual feature. Infrared and Laser Engineering, 47, S126004(2018).

    [10] Dongbo Zhao, Hui Li. Radar target recognition based on central moment feature and GA-BP neural network. Infrared and Laser Engineering, 47, 0826005(2018).

    [11] Baoming Jin, Guangyi Lu, Wei Wang, et al. Research on BP neural network rainfall runoff forecasting model based on elastic gradient descent algorithm. Journal of Shandong University(Engineering Science), 50, 117-124(2020).

    [12] Lili Wang, Hongbo Liu, Deyun Chen, et al. Identification of flow regimes based on adaptive learning and additional momentum BP neural network for electrical capacitance tomography. Journal of Harbin University of Science and Technology, 23, 105(2018).

    [13] Wenzhong Guo, Yuansheng Huang. Fault diagnosis of rotor based on improved models of resilient back -propagation neural network. Gas Turbine Technology, 22, 61-65(2009).

    CLP Journals

    [1] Siguang Zong, Xin Zhang, Jing Cao, Shanyong Liang, Bin Li. Method and experiment of laser detection and tracking of ship wake[J]. Infrared and Laser Engineering, 2023, 52(3): 20220507

    Yinbo Zhang, Sining Li, Peng Jiang, Jianfeng Sun. Underwater bubbles recognition based on PCA feature extraction and elastic BP neural network[J]. Infrared and Laser Engineering, 2021, 50(6): 20200352
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