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参考文献

[1]JAIN A K,MAO J C,MOHIUDDIN K M.Artificial neural networks:a tutorial[J].Computer,1996,29(3):31-44.

[2]GRIMAN S,SAUVE Y,LUND R.Receptive field properties of single neurons in rat primary visual cortex[J].Journal of neurophysiology,1999,82(1):301-311.

[3]MCCULLOCH W S,PITTS W.A logical calculus of the ideas immanent in nervous activity[J].The bulletin of mathematical biophysics,1943,5:115-133.

[4]RAO R P N,OLSHAUSEN B A,LEWICKI MS.Probabilistic models of the brain:perception and neural function[M].Cambridge,MIT press,2002.

[5]HOPFIELD J J,TANK D W."Neural" computation of decisions in optimization problems[J].Biological cybernetics,1985,52(3):141-152.

[6]HINTON G E.Boltzmann machine[J].Scholarpedia,2007,2(5):1668.

[7]BENGIO Y.Learning deep architectures for AI[J].Foundations and trends® in Machine Learning,2009,2 (1):1-127.

[8]ROSENBLATT F.The perceptron:a probabilistic model for information storage and organization in the brain[J].Psychological review,1958,65(6):386.

[9]ZHAO W D,WANG D,LU H C.Multi-focus image fusion with a natural enhancement via a joint multi-level deeply supervised convolutional neural network[J].IEEE Transactions on Circuits and Systems for Video Technology,2018,29(4):1102-1115.

[10]LI H,WU X J.DenseFuse:a fusion approach to infrared and visible images[J].IEEE Transactions on Image Processing,2018,28(5):2614-2623.

[11]MA J Y,YU W,Liang P W,et al.FusionGAN:a generative adversarial network for infrared and visible image fusion[J].Information fusion,2019,48:11-26.

[12]XU H,MA J Y,JIANG J J,et al.U2Fusion:a unified unsupervised image fusion network[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2020,44(1):502-518.

[13]PRABHAKAR K R,SRIKAR V S,BABU R V.Deepfuse:a deep unsupervised approach for exposure fusion with extreme exposure image pairs[C]//Institute of Electrical and Electronics Engineers,IEEE international conference on computer vision.2017:4714-4722.

[14]KRIZHEVSKY A,SUTSKEVER I,HINTON G.Imagenet classification with deep convolutional neural networks[J].Communications of the ACM,2017,60(6):84-90.

[15]SIMONYAN K,ZISSERMAN A.Very deep convolutional networks for large-scale image recognition[J].arXiv preprint arXiv:1409.1556,2014.

[16]HE K M,ZHANG X Y,REN S Q,et al.Deep residual learning for image recognition[C]//Institute of Electrical and Electronics Engineers,IEEE/CVF conference on computer vision and pattern recognition,Las Vegas,IEEE,2016:1646-1654.

[17]HUANG G,LIU Z,MAATEN L V D,et al.Densely connected convolutional networks[C]//Institute of Electrical and Electronics Engineers,IEEE/CVF conference on computer vision and pattern recognition,Las Vegas,IEEE,2016:4700-4708. qeBF/cF2KNJ4gL11qXCV6AUoYxfQMzbV8CELUR9TGqdFLYul0zdtbmEdnwCcmSAf

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