Machine Learning Assisted Hybrid EDFA-Raman Amplifier Design for C+L Bands

We address the different design challenges and applications of machine learning to modeling optical amplifiers. The problem of accuracy in designing neural networks cannot be simplified to the requirement of large training data sets, but it is specific to the application and the model selection.