Optimal Design of Gain-Flattened Raman Fiber Amplifiers Using a Hybrid Approach Combining Randomized Neural Networks and Differential Evolution Algorithm | |
Chen, Jing; Jiang, Hao | |
刊名 | IEEE PHOTONICS JOURNAL |
2018 | |
卷号 | 10 |
关键词 | machine learning gain flatness optimization Raman fiber amplifier |
ISSN号 | 1943-0655 |
URL标识 | 查看原文 |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/2890986 |
专题 | 福州大学 |
推荐引用方式 GB/T 7714 | Chen, Jing,Jiang, Hao. Optimal Design of Gain-Flattened Raman Fiber Amplifiers Using a Hybrid Approach Combining Randomized Neural Networks and Differential Evolution Algorithm[J]. IEEE PHOTONICS JOURNAL,2018,10. |
APA | Chen, Jing,&Jiang, Hao.(2018).Optimal Design of Gain-Flattened Raman Fiber Amplifiers Using a Hybrid Approach Combining Randomized Neural Networks and Differential Evolution Algorithm.IEEE PHOTONICS JOURNAL,10. |
MLA | Chen, Jing,et al."Optimal Design of Gain-Flattened Raman Fiber Amplifiers Using a Hybrid Approach Combining Randomized Neural Networks and Differential Evolution Algorithm".IEEE PHOTONICS JOURNAL 10(2018). |
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