Model-Aware XGBoost Method Towards Optimum Performance of Flexible Distributed Raman Amplifier

Model-Aware XGBoost Method Towards Optimum Performance of Flexible Distributed Raman Amplifier

Toward the next-generation ultra-long-haul optical network, an extremely gradient boosting (XGBoost)-aided machine learning (ML) model is proposed to maximize the flexibility and uniformity in the performance of distributed Raman amplifier (DRA). In order to achieve an accurate prediction of desired...

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Bibliographic Details
Main Authors:	Anand Prakash, Jaisingh Thangaraj, Sharbani Roy, Shaury Srivastav, Jitendra K. Mishra
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Series:	IEEE Photonics Journal
Subjects:	DRA ML XGBoost SVM RF AdaBoost
Online Access:	https://ieeexplore.ieee.org/document/10152494/

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