Optimization of Raman amplifiers using machine learning

U. C. de Moura,F. Da Ros,D. Zibar,A. M. Rosa Brusin,A. Carena

2021 IEEE Photonics Society Summer Topicals Meeting Series (SUM)（2021）

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摘要

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.

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关键词

optical communications,machine learning,inverse system design,optimization

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