Krizhevsky A, Sutskever I, Hinton G E. Imagenet classifi-cation with deep convolutional neural networks[C]//Advances in Neural Information Processing Systems, 2012:1097–1105.
Bengio Y, Simard P, Frasconi P. Learning long-term depen-dencies with gradient descent is difficult[J]. IEEE Transac-tions on Neural Networks, 1994, 5(2):157–166.
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich, Going Deeper with Convolutions, Arxiv Link: http://arxiv.org/abs/1409.4842.
Rougui J E, Istrate D, Souidene W, et al. Audio Based Sur-veillance for Cognitive Assitance Using a CMT Microphonewithin Socially Assistive Living [J]. 2009, 2009 (2009):2547–2550.]
Zang D, Chai Z, Zhang J, et al. Vehicle license plate recog-nition using visual attention model and deep learning[J]. Journal of Electronic Imaging, 2015, 24(3):033001.
Hinton G E, Srivastava N, Krizhevsky A, et al Improving neural networks by preventing co-adaption of feature detectors[ R /OL].[2015-10-26]. http://arxiv.org/pdf/12070580v1
Wan L, Zeiler M, Zhang S, et al. Regularization of neural networks using drop connect [C] / / Proceedings of the 2013 Inter-national Conference on Machine Learning. New York: ACM Press, 2013: 1058-1066.
Luo Ke, Zhou Anzhong, Luo Xiao. A Convolutional neural network training strategy using knowledge transfer[J]. Control and decision-making, 2019, 034 (003) : 511-518.
Shi Wenxu, Jiang Jinhong, Bao Shengli. Application of improved convolutional neural network in pathological image classification of adenocarcinoma[J]. Science, technology and engineering, 209,19 (35) : 279-285.
Rao Jianghao. Target identification, positioning and detection based on CNN integration [D]. University of Chinese academy of sciences (institute of optoelectronic technology, Chinese academy of sciences), 2018.
Li Dajun, He Weilong, Guo Bingxuan, Li Maosen, Chen Minqiang. Building target detection algorithm based on Mask - RCNN[J]. Science of surveying and mapping, 202,44 (10) : 172-180.
DingPeng. Research on optical remote sensing target detection technology based on deep convolutional neural network [D]. University of Chinese academy of sciences (changchun institute of optics, precision mechanics and physics, cas), 2019.