Machine learning-based Raman amplifier design
Applied Physics
2018-11-27 v1
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.
Cite
@article{arxiv.1811.10381,
title = {Machine learning-based Raman amplifier design},
author = {D. Zibar and A. Ferrari and V. Curri and A. Carena},
journal= {arXiv preprint arXiv:1811.10381},
year = {2018}
}
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