Optimization of Raman amplifiers using machine learning

It has been recently demonstrated that neural networks can learn the complex pump-signal relations in Raman amplifiers. Here we experimentally show how these neural network models are applied to provide highly-accurate Raman amplifier designs and flexible configuration for ultra-wideband optical communication systems.