[1] J Song, Y Li, D Che, et al. Coherent beam combining based on the SPGD algorithm with a momentum term. Optik, 202, 163650(2020).

[2] G Huang, C Geng, F Li, et al. Adaptive SMF coupling based on precise-delayed SPGD algorithm and its application in free space optical communication. IEEE Photonics Journal, 10, 1-12(2018).

[3] H Q Zhou, L L Hang, Y T Wang. Deep learning algorithm and its application in optics. Infrared and Laser Engineering, 48, 1226004(2019).

[4] Yang Huizhen, Wang Bin, Liu Ruiming, et al. Analysis of antinoise capability of modelbased wavefront sensless adaptive optics system[J]. Infrared Laser Engineering, 2017, 46(8): 0817002. (in Chinese)

[5] Wang Weibing, Wang Tingfeng, Guo Jin. Simulation on the law of wavefront shaping with stochastic parallel gradient descent algithm f adaptive optic[J]. Chinese Journal of Optics, 2014, 7(3): 411420. (in Chinese)

[6] Yang Huizhen, Chen Bo, Li Xinyang, et al. Experimental demonstration of Stochastic Parallel Gradient Descent Control Algithm f adaptive optics system[J]. Acta Optica Sinica, 2008, 2(6): 205210. (in Chinese)

[7] Diederik P Kingma, Jimmy Ba. Adam: A method f stochastic optimization[C]3rd International Conference f Learning Representations, 2015.

[8] L H Huang, L H Cao, N Li, et al. A state perception method for infrared dim and small targets with deep learning. Chinese Optics, 13, 527-536(2020).

[9] L L Fan, H W Zhao, H Y Zhao. Survey of target detection based on deep convolutional neural networks. Optics and Precision Engineering, 28, 1152-1164(2020).

[10] G Yang, L Liu, Z Jiang, et al. Incoherent beam combining based on the momentum SPGD algorithm. Opt Laser Technol, 101, 372-378(2018).

[11] N A Roddier. Atmospheric wavefront simulation using Zernike polynomials. Optical Engineering, 29, 1174-1180(1990).