Towards intelligent fiber laser design by using a feed-forward neural network

被引：0
|
作者：
Liu, Xinyang [1 ]
Gumenyuk, Regina [1 ,2 ]
机构：
[1] Tampere Univ, Lab Photon, Korkeakoulunkatu 3, Tampere 33720, Finland
[2] Tampere Univ, Tampere Inst Adv Study, Kalevantie 4, Tampere 33100, Finland
来源：
ADVANCED LASERS, HIGH-POWER LASERS, AND APPLICATIONS XIV | 2023年 / 12760卷
关键词：
Intelligent laser cavity design; feed-forward neural network; laser output prediction;
D O I：
10.1117/12.2686809
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
We demonstrated a high accuracy prediction of the fiber laser output parameters by using a feed-forward neural network. We explored both the gain and spectral filter parameters to test the prediction performance of the neural network and realized the mapping between cavity parameters and laser output performance. We also investigated how the number of hidden layers could influence the accuracy of prediction. Based on the results, the output spectrum and temporal pulse profiles can be predicted with high accuracy in various fiber laser designs. Our work paves the way to intelligent laser design with ultimate autonomy.
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页数：4
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