Prediction of Second-Harmonic Generation Wave-Front Distribution by Extreme Learning Machine
文献类型:期刊论文
作者 | Xu, Zhiqiang1,2,5; Wang, Peng3; Zhao, Mengmeng1,2,5; Yang, Mi3; Zhao, Wang1,4; Hu, Ke1,4; Dong, Lizhi1,4; Wang, Shuai1,4; Li, Xiao3; Yang, Ping1,4 |
刊名 | IEEE Photonics Technology Letters
![]() |
出版日期 | 2020-06-15 |
卷号 | 32期号:12页码:693-696 |
关键词 | Extreme learning machine second harmonic generation wave-front sensor |
ISSN号 | 1041-1135 |
DOI | 10.1109/LPT.2020.2993141 |
文献子类 | 期刊论文 |
英文摘要 | In the applications of wave-front detection using second-harmonic generation, the spatial phase distribution needs to calculate accurately before and after frequency doubling in real-time. This letter presents a learning-based method called extreme learning machine to fit the corresponding relationship of phase between the fundamental frequency wave and the second-harmonic. The Zernike coefficients of the fundamental frequency wave wave-front and the second-harmonic wave-front are used as input data for Extreme Learning Machine model training and testing. The effects of the intensity-dependent phase shift and walk-off are also considered. The reliability of the trained Extreme Learning Machine model was accessed based on simulation results. The proposed method has shown distinct competitive advantages in real-time calculation efficiency. The well-trained Extreme Learning Machine model only needs 0.026 seconds to accurately predict the phase distribution of the fundamental frequency wave. The runtime is three orders of magnitude smaller than the traditional numerical calculation method. © 1989-2012 IEEE. |
出版地 | PISCATAWAY |
WOS关键词 | FREQUENCY ; BEAMS ; DEPLETION |
WOS研究方向 | Engineering ; Optics ; Physics |
语种 | 英语 |
WOS记录号 | WOS:000536335900002 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
源URL | [http://ir.ioe.ac.cn/handle/181551/10067] ![]() |
专题 | 光电技术研究所_自适应光学技术研究室(八室) |
作者单位 | 1.Key Laboratory of Adaptive Optics, Chinese Academy of Sciences, Chengdu; 610209, China; 2.Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu; 610209, China; 3.College of Optoelectronic Science and Engineering, National University of Defense Technology, Changsha; 410073, China; 4.Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu; 610209, China 5.College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing; 100049, China; |
推荐引用方式 GB/T 7714 | Xu, Zhiqiang,Wang, Peng,Zhao, Mengmeng,et al. Prediction of Second-Harmonic Generation Wave-Front Distribution by Extreme Learning Machine[J]. IEEE Photonics Technology Letters,2020,32(12):693-696. |
APA | Xu, Zhiqiang.,Wang, Peng.,Zhao, Mengmeng.,Yang, Mi.,Zhao, Wang.,...&Xu, Bing.(2020).Prediction of Second-Harmonic Generation Wave-Front Distribution by Extreme Learning Machine.IEEE Photonics Technology Letters,32(12),693-696. |
MLA | Xu, Zhiqiang,et al."Prediction of Second-Harmonic Generation Wave-Front Distribution by Extreme Learning Machine".IEEE Photonics Technology Letters 32.12(2020):693-696. |
入库方式: OAI收割
来源:光电技术研究所
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。