Predicting optical power excursions in erbium doped fiber amplifiers using neural networks - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2018

Predicting optical power excursions in erbium doped fiber amplifiers using neural networks

Résumé

We report on a Machine Learning approach based on artificial Neural Networks to predict optical power excursion in Erbium Doped Fiber Amplifiers. Its flexibility and adaptability could be valuable for future optical networks dealing with the negative impact of this aforementioned physical layer impairment
Fichier non déposé

Dates et versions

hal-01980287 , version 1 (14-01-2019)

Identifiants

Citer

Maria José Freire Hermelo, Sébastien Mansfeld, Djamel Amar, Franck Gillet, Antoine Lavignotte, et al.. Predicting optical power excursions in erbium doped fiber amplifiers using neural networks. ACP 2018 : Asia Communication and Photonics Conference, Oct 2018, Hangzhou, China. pp.1 - 3, ⟨10.1109/ACP.2018.8596233⟩. ⟨hal-01980287⟩
80 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More