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Neural Networks for Fiber Amplifier Design Optimization using Experimental Training Sets

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Abstract

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.

© 2023 The Author(s)

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