Ring-Core-Fiber Optimization Assisted by Machine Learning Algorithms

被引：0

作者：

Shi, Chumin ^{[1
]}

Ning, Jingkun ^{[1
]}

Mo, Shuqi ^{[1
]}

Liang, Sihao ^{[1
]}

Luo, Yiyang ^{[1
]}

Luo, Zhuofeng ^{[1
]}

Zhang, Junwei ^{[1
]}

Liu, Jie ^{[1
]}

Yu, Siyuan ^{[1
,2
]}

机构：

[1] Sun Yat Sen Univ, State Key Lab Optoelect Mat & Technol, Sch Elect & Informat Engn, Guangzhou 510275, Peoples R China

[2] Univ Bristol, Merchant Venturers Sch Engn, Photon Grp, Bristol BS8 1UB, Avon, England

来源：

2019 ASIA COMMUNICATIONS AND PHOTONICS CONFERENCE (ACP) | 2019年

基金：

国家重点研发计划;

关键词：

D O I：

暂无

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

A RCF design methodology for the minimization of inter-MG coupling coefficient is proposed based on machine-learning algorithms. Lower coupling coefficient can be realized by the proposed methodology, compared with that of the previously reported RCF.

引用

页数：3

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