@inproceedings{76c562e2d34a46408be26bae5aeeebdc,
title = "Towards intelligent fiber laser design by using a feed-forward neural network",
abstract = "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.",
keywords = "feed-forward neural network, Intelligent laser cavity design, laser output prediction",
author = "Xinyang Liu and Regina Gumenyuk",
note = "Publisher Copyright: {\textcopyright} 2023 SPIE.; SPIE/COS Photonics Asia technical conferences ; Conference date: 14-10-2023 Through 16-10-2023",
year = "2023",
doi = "10.1117/12.2686809",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Jun Liu and Shibin Jiang and Ingmar Hartl",
booktitle = "Advanced Lasers, High-Power Lasers, and Applications XIV",
address = "United States",
}