Presentation Information
[TuC1-2]NN-IGBM: A Full-physics Raman Numerical Solution Solving Framework Initialized by Neural Network
○Zihang Wang1, Yihao Zhang1, Xiaomin Liu1, Yicheng Xu1, Lilin Yi1, Weisheng Hu1, Qunbi Zhuge1 (1. Shanghai Jiao Tong University (China))
Keywords:
Artificial intelligence and machine learning for optical transmission systems and subsystems,Transmission impairments and their mitigations
We propose a full-physics solver framework for Raman amplifiers with third-order pumps. Simulations demonstrate that it improves the convergence rate to 98.37% and simulation speed by 19.85 times on average over 10,000 simulation cases.
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