[2] Hou J F, Pei L, Li Z X et al. Development and application of optical fiber sensing technology[J]. Electro-Optic Technology Application, 27, 49-53(2012).
[3] Hu Z S, Yang Q H, Qiao B. Design of interference distributed fiber-optic underwater long gas pipeline leakage detection system[J]. Laser & Optoelectronics Progress, 49, 070602(2012).
[4] Chen Q N. Research on several key technologies of double Mach-Zehnder distributed optical fiber vibration sensing[D]. Tianjin: Tianjin University(2015).
[5] Tian M. Research and implement of algorithms for the fiber perimeter security system based on dual Mach-Zehnder[D]. Tianjin: Tianjin University(2017).
[6] Chen W M, Wu J, Tan J et al. Locating technology for twin Mach-Zehnder distributed optical fiber sensing system[J]. Acta Optica Sinica, 27, 2128-2132(2007).
[7] Li Z C, Liu K, Jiang J F et al. A high-accuracy event discrimination method in optical fiber perimeter security system[J]. Infrared and Laser Engineering, 47, 0922002(2018).
[8] Xu C J, Guan J J, Bao M et al. Pattern recognition based on enhanced multifeature parameters for vibration events in Φ-OTDR distributed optical fiber sensing system[J]. Microwave and Optical Technology Leters, 59, 3134-3141(2017).
[9] Zhang X P, Ding Z W, Hong R et al. Phase sensitive optical time-domain reflective distributed optical fiber sensing technology[J]. Acta Optica Sinica, 41, 0106004(2021).
[10] Xu C J, Guan J J, Bao M et al. Pattern recognition based on time-frequency analysis and convolutional neural networks for vibrational events in φ-OTDR[J]. Optical Engineering, 57, 016103(2018).
[11] Che Q, Wen H Q, Li X Y et al. Partial discharge recognition based on optical fiber distributed acoustic sensing and a convolutional neural network[J]. IEEE Access, 7, 101758-101764(2019).
[12] Sun Q Z, Liu D M, Liu H R et al. Distributed fiber-optic sensor with a ring Mach-Zehnder interferometer[J]. Proceedings of SPIE, 6781, 67814D(2007).
[13] Li P C. Research and modularization of polarization control method for dual Mach-Zehnder fiber disturbance system[D]. Tianjin: Tianjin University(2018).
[14] Sun Z J, Xue L, Xu Y M et al. Overview of deep learning[J]. Application Research of Computers, 29, 2806-2810(2012).
[15] Bengio Y, Delalleau O. On the expressive power of deep architectures. [C]∥Proceedings of the 14th International Conference on Discovery Science, October 5-7, 2011, Espoo, Finland. Berlin: Springer, 18-36(2011).
[16] Liu J M, Yang S, Huang H. Hyperspectral remote sensing image classification based on local reconstruction Fisher analysis[J]. Chinese Journal of Lasers, 47, 0710001(2020).
[17] Kong F Q, Zhou Y B, Shen Q et al. End-to-end multispectral image compression using convolutional neural network[J]. Chinese Journal of Lasers, 46, 1009001(2019).
[18] Chen H K, Chen Y. Speaker identification based on multimodal long short-term memory with depth-gate[J]. Laser & Optoelectronics Progress, 56, 031007(2019).
[19] Ren K L, Wang Y, Chen X D et al. Speaker-dependent speech recognition algorithm for laparoscopic supporter control[J]. Laser & Optoelectronics Progress, 57, 181702(2020).
[20] Zhou J Y, Zhao Y M. Application of convolution neural network in image classification and object detection[J]. Computer Engineering and Applications, 53, 34-41(2017).
[22] Hochreiter S, Schmidhuber J. Long short-term memory[J]. Neural Computation, 9, 1735-1780(1997).
[23] Hou Y M, Zhou H Q, Wang Z Y. Overview of speech recognition based on deep learning[J]. Application Research of Computers, 34, 2241-2246(2017).
[24] Sainath T N, Peddinti V, Kingsbury B et al. Deep scattering spectra with deep neural networks for LVCSR tasks. [C]∥INTERSPEECH 2014 15 th Annual Conference of the International Speech Communication Association, September 14-18, 2014, Singapore. Sydney : International Speech and Communication Association, 900-904(2014).
[25] Schwarz P, Matejka P, Cernocky J. Hierarchical structures of neural networks for phoneme recognition[C]∥2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, May 14-19, 2006, Toulouse, France., 9209251(2006).
[26] Sainath T N, Vinyals O, Senior A et al. Convolutional, long short-term memory, fully connected deep neural networks[C]∥2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), April 19-24, 2015, South Brisbane, QLD, Australia., 4580-4584(2015).
[27] Dean J, Corrado G, Monga R et al. Large scale distributed deep networks. [C]∥Advances in Neural Information Processing Systems 25 (NIPS 2012), December 3-6, 2012, Lake Tahoe, Nevada, USA. New York: Curran Associates, 1223-1231(2012).
[28] Sahraeian R, van Compernolle D. Cross-entropy training of DNN ensemble acoustic models for low-resource ASR[J]. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 26, 1991-2001(2018).
[29] Glorot X, Bengio Y. Understanding the difficulty of training deep feedforward neural networks[J]. Proceedings of Machine Learning Research, 9, 249-256(2010).
