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             [10] Le Cun Y, Bengio Y, Hinton G. Deep learning[J]. Nature,  tive adversarial networks[EB/OL]. arXiv Preprint, arXiv:
                 2015, 521(7553): 436–444.                         1406.2661, 2014.
             [11] Schmidhuber J. Deep learning in neural networks: an  [16] 康旭, 张晓峰. 基于生成对抗神经网络的雷达遥感数据增广方
                 overview[J]. Neural Networks, 2015, 61: 85–117.   法 [J]. 系统仿真学报, 2022, 34(4): 920–927.
             [12] Murphy J. An overview of convolutional neural network  Kang Xu, Zhang Xiaofeng. Radar remote sensing data
                 architectures for deep learning[J]. Microway Inc, 2016:  augmentation method based on generative adversarial
                 1–22.                                             network[J]. Journal of System Simulation, 2022, 34(4):
             [13] 高留刚, 李春迎, 陆正大, 等. 基于卷积神经网络生成虚拟平                  920–927.
                 扫 CT 图像 [J]. 中国医学影像技术, 2022, 38(3): 440–444.   [17] 邱根, 王锂, 白利兵. 基于生成对抗网络数据扩充的缺陷识别
                 Gao Liugang, Li Chunying, Lu Zhengda, et al. Generation  方法 [J]. 电子测量与仪器学报, 2021, 35(2): 212–220.
                 of virtual plain CT images based on convolutional neural  Qiu Gen, Wang Li, Bai Libing. GANs-based synthetic
                 network[J]. Chinese Journal of Medical Imaging Technol-  data augmentation for defects recognition[J]. Journal
                 ogy, 2022, 38(3): 440–444.                        of Electronic Measurement and Instrumentation, 2021,
             [14] 徐卫鹏, 徐冰. 基于卷积神经网络的轴承故障诊断研究 [J]. 山                35(2): 212–220.
                 东科技大学学报 (自然科学版), 2021, 40(6): 121–128.         [18] Shamshirband S, Mohammadi K, Khorasanizadeh H, et
                 Xu Weipeng, Xu Bing. Study on bearing fault diagnosis  al. Estimating the diffuse solar radiation using a cou-
                 based on convolution neural network[J]. Journal of Shan-  pled support vector machine–wavelet transform model[J].
                 dong University of Science and Technology(Natural Sci-  Renewable and Sustainable Energy Reviews, 2016, 56:
                 ence), 2021, 40(6): 121–128.                      428–435.
             [15] Goodfellow I J, Pouget-Abadie J, Mirza M, et al. Genera-
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