1 research outputs found
Machine learning-based EDFA Gain Model Generalizable to Multiple Physical Devices
We report a neural-network based erbium-doped fiber amplifier (EDFA) gain
model built from experimental measurements. The model shows low gain-prediction
error for both the same device used for training (MSE 0.04 dB) and
different physical units of the same make (generalization MSE 0.06
dB)