Neural Networks for Fiber Amplifier Design Optimization using Experimental Training Sets

We use a neural network trained from experimental cut-back measurements of a doped fiber. With fast, accurate predictions of noise figure and gain, we find optimal fiber length and pumping strategy for an amplified link.