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