Machine Learning for Raman Amplifier Design
Uiara Celine de MouraTechnical University of Denmark, Department of Photonics Engineering, DKFrancesco Da RosMachine Learning in Photonic SystemsA. M. Rosa BrusinTurin Polytechnic UniversityAndrea CarenaPolytechnic University of TurinDarko ZibarTechnical University of Denmark, Department of Photonics Engineering, DK
2020en
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ABI
Annotatsiya
A comprehensive discussion about the application of a machine learning tool to design Raman amplifiers is provided. Simulation and experimental results demonstrate its accuracy in achieving the desired gain profiles.
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