Analysis of the optical properties of a fiber Bragg grating using machine learning approach

被引：1

作者：

Dey, Koustav ^{[1
]}

Nikhil, V ^{[1
]}

Choudhary, Sukanya ^{[1
]}

Roy, Sourabh ^{[1
]}

机构：

[1] Natl Inst Technol, Warangal 506004, Andhra Pradesh, India

来源：

2021 ANNUAL CONFERENCE OF THE IEEE PHOTONICS SOCIETY (IPC) | 2021年

关键词：

Fiber Bragg grating; Machine learning; Artificial neural network; Optical properties;

D O I：

10.1109/IPC48725.2021.9592988

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Fiber Bragg gratings (FBGs) are the most popular component used for efficient sensing purposes due to their unique inherent properties. Here, we have analyzed various optical properties such as effective refractive index, bandwidth, reflectivity and wavelength of the grating using the Machine learning (ML) approach efficiently.

引用

页数：2

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