Machine Learning Based Prediction of Erbium-Doped Fiber WDM Line Amplifier Gain Spectra

Machine learning based modelling of Erbium-Doped Fiber Amplifiers (EDFA) is used to determine wavelength dependent gain for use in optical transmission systems, and achieves root mean square error (RMSE) of 0.08, 0.18, and 0.27 dB under input ranges of +/− 3, 6, 9 dB.