Optimization of a Hybrid EDFA-Raman C+L Band Amplifier through Neural-Network Models

Experimentally-trained neural network models are used to optimize the 12 Raman pumps of a C+L band hybrid EDFA-Raman amplifier, targeting gains with improved flatness. Gain ripples are decreased from 6.7 to 1.9 dB.