[1] LECUN Y,BOSER B,DENKER J S,et al.Back propagation applied to handwritten zip code recognition[J].Neural Computation,1989,1(4):541-551. [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] HUBEL D H,WIESEL T N.Receptive fields,binocular interaction and functional architecture in the cat’s visual cortex[J].The Journal of Physiology,1962,160(1):106-154. [4] FUKUSHIMA K.Neocognitron:a self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position[J].Biological Cybernetics,1980,36(4):193-202. [5] KRIZHEVSKY A,SUTSKEVER I,HINTON G E.ImageNet classification with deep convolutional neural networks[J].Communications of the ACM,2017,60(6):84-90. [6] DENG J,DONG W,SOCHER R,et al.ImageNet:a large-scale hierarchical image database[C]//Proceedings of 2009 IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2009:248-255. [7] SIMONYAN K,ZISSERMAN A.Very deep convolutional networks for large-scale image recognition[EB/OL].[2019-07-11].https://arxiv.org/abs/1409.1556. [8] HE Kaiming,ZHANG Xiangyu,REN Shaoqing,et al.Deep residual learning for image recognition[EB/OL].[2019-07-11].https://arxiv.org/abs/1512.03385. [9] ZEILER M D,FERGUS R.Visualizing and understanding convolutional networks[EB/OL].[2019-07-11].https://arxiv.org/abs/1311.2901. [10] TANG Hao,HUANG Weipeng,LI Zheyuan,et al.Negative expression recognition method based on improved convolutional neural network[J].Journal of Huazhong University of Science and Technology(Natural Science),2015,43(S1):457-460.(in Chinese) 唐浩,黄伟鹏,李哲媛,等.基于改进的卷积神经网络的负面表情识别方法[J].华中科技大学学报(自然科学版),2015,43(S1):457-460. [11] WEN Wei,WU Chunpeng,WANG Yandan,et al.Learning structured sparsity in deep neural networks[EB/OL].[2019-07-11].https://arxiv.org/abs/1608.03665. [12] LOUIZOS C,WELLING M,KINGMA D P.Learning sparse neural networks through L0 regularization[EB/OL].[2019-07-11].https://arxiv.org/abs/1712.01312. [13] LUO Ping,ZHU Zhenyao,LIU Ziwei,et al.Face model compression by distilling knowledge from neurons[C]//Proceedings of the 30th AAAI Conference on Artificial Intelligence.Palo Alto,USA:AAAI Press,2016:3560-3566. [14] HE Yihui,ZHANG Xiangyu,SUN Jian.Channel pruning for accelerating very deep neural networks[C]//Proceedings of 2017 IEEE International Conference on Computer Vision.Washington D.C.,USA:IEEE Press,2017:1-7. [15] CAO Huizhen.Image classification based on improved convolutional neural network[D].Guilin:Guangxi Normal University,2017.(in Chinese) 曹惠珍.基于改进卷积神经网络的图像分类研究[D].桂林:广西师范大学,2017. [16] CHANG S Y,MORGAN N.Robust CNN-based speech recognition with filter kernels[C]//Proceedings of the Annual Conference of International Speech Communication Association.[S.l.]:International Computer Science Institute,2014:905-909. [17] FEI Jianchao,YAN Ting,ZHOU You,et al.Multi-input convolutional neural networks based on gradient[J].Optoelectronic Engineering,2015,42(3):33-38.(in Chinese) 费建超,芮挺,周遊,等.基于梯度的多输入卷积神经网络[J].光电工程,2015,42(3):33-38. [18] WANG Feifei.Research and application based on improved convolutional neural network algorithm[D].Nanjing:Nanjing University of Posts and Telecommunications,2016.(in Chinese)王飞飞.基于改进卷积神经网络算法的研究与应用[D].南京:南京邮电大学,2016. [19] BELHUMEUR P N,HESPANHA J P,KRIEGMAN D J.Eigenfaces vs.Fisherfaces:recognition using class specific linear projection[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1997,19(7):711-720. [20] YANG Chendong.BP_Fisher discriminant analysis method[D].Xi’an:Chang’an University,2015.(in Chinese)杨陈东.BP_Fisher判别分析法[D].西安:长安大学,2015. |