[3] Reed G, Savage K, Edwards D et al. Hyperspectral imaging of gel pen inks: an emerging tool in document analysis[J]. Science & Justice, 54, 71-80(2014).
[4] Megahed A, Fadl S M, Han Q et al. Handwriting forgery detection based on ink colour features. [C]∥2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS), November 24-26, 2017, Beijing, China. New York: IEEE, 141-144(2017).
[5] Dansena P, Bag S, Pal R. Differentiating pen inks in handwritten bank cheques using multi-layer perceptron[M]. ∥Shankar B U, Ghosh K, Mandal D P, et al. Pattern recognition and machine intelligence. Lecture notes in computer science. Cham: Springer, 10597, 655-663(2017).
[6] Fukushima K. Neocognitron: a self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position[J]. Biological Cybernetics, 36, 193-202(1980).
[7] Krizhevsky A, Sutskever I. Lake Tahoe, Nevada, USA. New York: Curran Associates, 2012, 1097-1105(2012).
[8] Szegedy C, Liu W, Jia Y Q et al. Going deeper with convolutions. [C]∥2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 7-12, 2015, Boston, MA, USA. New York: IEEE, 1-9(2015).
[9] Silver D, Huang A, Maddison C J et al. Mastering the game of Go with deep neural networks and tree search[J]. Nature, 529, 484-489(2016).
[11] Yang M J, Tang Y Q, Jiang X J. Research on shoe pattern recognition method based on convolutional neural network[J]. Laser & Optoelectronics Progress, 56, 171501(2019).
[13] Abdel-Hamid O, Mohamed A R, Jiang H et al. Convolutional neural networks for speech recognition[J]. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 22, 1533-1545(2014).
[14] Karpathy A, Toderici G, Shetty S et al. Large-scale video classification with convolutional neural networks. [C]∥2014 IEEE Conference on Computer Vision and Pattern Recognition, June 23-28, 2014, Columbus, OH, USA. New York: IEEE, 1725-1732(2014).
[15] Zhang W, Zhang H X[J]. Classification of main components of textile fabrics based on convolutional neural network Journal of Zhejiang Sci-Tech University, 2019, 1-8.
[17] Sainath T N, Mohamed A R, Kingsbury B et al. Deep convolutional neural networks for LVCSR. [C]∥2013 IEEE International Conference on Acoustics, May 26-31, 2013, Vancouver, BC, Canada. New York: IEEE, 8614-8618(2013).
[18] Glorot X, Bengio Y. Understanding the difficulty of training deep feedforward neural networks[J]. Journal of Machine Learning Research, 249-256(2010).
[19] Iandola F N, Han S, Moskewicz M W, <0.5 MB model size[EB/OL] et al. -11-04)[2020-02-26]. https:∥arxiv., org/abs/1602, 07360(2016).