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Machine learning-based Raman amplifier design

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Abstract

A multi-layer neural network is employed to learn the mapping between Raman gain profile and pump powers and wavelengths. The learned model predicts with high-accuracy, low-latency and low-complexity the pumping setup for any gain profile.

© 2019 The Author(s)

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