[1] Weiwei Liang, Qiao Chen, Fang Peng, et al. A novel surface-enhanced Raman scattering (SERS) detection for natural gas exploration using methane-oxidizing bacteria. Talanta, 184, 156-161(2018).

[2] Marco Veneranda, Manrique-Martinez Jose Antonio, Guillermo Lopez-Reyes, et al. Spectroscopic study of olivine-bearing rocks and its relevance to the ExoMars rover mission. Spectrochimica Acta Part A-Molecular and Biomolecular Spectroscopy, 223, 117360(2019).

[3] Lamei Zhang, Zexi Chen, Bin Zou. Fine classification of polarimetric SAR images based on 3D convolutional neural network. Infrared and Laser Engineering, 47, 0703001(2018).

[4] Guimin Jia, Fangyuan Cheng, Jinfeng Yang, et al. Intelligent checking model of Chinese radiotelephony read-backs in civil aviation air traffic control. Chinese Journal of Aeronautics, 31, 2280-2289(2018).

[5] Mingxin Yu, Yichen Sun, Bofei Zhu, et al. Diverse frequency band-based convolutional neural networks for tonic cold pain assessment using EEG. Neurocomputing, 378, 270-282(2020).

[6] Shanjiang Hu, Yan He, Bangyi Tao, . Classification of sea and land waveforms based on deep learning for airborne laser bathymetry. Infrared and Laser Engineering, 48, 1113004(2019).

[7] Mingxin Yu, Xiaoying Tang, Yingzi Lin, et al. Diesel engine modeling based on recurrent neural networks for a hardware-in-the-loop simulation system of diesel generator sets. Neurocomputing, 283, 9-19(2018).

[8] Mingxin Yu, Xiaoying Tang, Yingzi Lin, et al. An eye detection method based on convolutional neural networks and support vector machines. Intelligent Data Analaysis, 22, 345-362(2018).

[9] Hongqiang Zhou, Lingling Huang, Yongtian Wang. Deep learning algorithm and its application in optics. Infrared and Laser Engineering, 48, 1226004(2019).

[10] Mingxin Yu, Hao Yan, Jiabin Xia, et al. Deep convolutional neural networks for tongue squamous cell carcinoma classification using raman spectroscopy. Photodiagnosis and Photodynamic Therapy, 26, 430-435(2019).

[11] Hao Yan, Mingxin Yu, Jiabin Xia, et al. Tongue squamous cell carcinoma discrimination with raman spectroscopy and convolutional neural networks. Vibrational Spectroscopy, 103, 102938(2019).

[12] Yichen Shen, Nicholas C Harris, Scott Skirlo, et al. Deep learning with coherent nanophotonic circuits. Nature Photonics, 11, 441(2017).

[13] Ian A D Williamson, Tyler W Hughes, Momchil Minkov, et al. Reprogrammable electro-optic nonlinear activation functions for optical neural networks. IEEE Journal of Selected Topics In Quantum Electronics, 26, 2930455(2020).

[14] Xing Lin, Yair Rivenson, Nezih T Yardimei, et al. All-optical machine learning using diffractive deep neural networks. Science, 361, 1004(2018).

[15] Deniz Mengu, Yi Luo, Yair Rivenson, et al. Analysis of diffractive optical neural networks and their integration with electronic neural networks. IEEE Journal of Selected Topics In Quantum Electronics, 26, 2921376(2020).

[16] Julie Chang, Vincent Sitzmann, Xiong Dun, et al. Hybrid optical-electronic convolutional neural networks with optimized diffractive optics for image classification. Scientific Reports, 8(2018).

[17] [17] Lafuente B, Downs R T, Yang H, et al. The Power of Databases: the RRUFF Project[M]Armbruster T, Danisi R M. Highlights in Mineralogical Crystallography. Berlin: De Gruyter, 2015: 130.