Curvature prediction of long‐period fibre grating based on random forest regression

Abstract This study proposes a long‐period fibre grating (LPFG) curvature estimation method based on random forest regression (RFR) to address the shortcomings of the existing curvature evaluation method, namely, polynomial fitting; these shortcomings cause difficulty in achieving adequate model reg...

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Bibliographic Details
Main Authors: Xingliu Hu, Haifei Si, Quanyi Ye, Yan Zhang
Format: Article
Language:English
Published: Wiley 2022-10-01
Series:IET Optoelectronics
Online Access:https://doi.org/10.1049/ote2.12078