Neural Network Training Framework for Nonlinear Signal-to-Noise Ratio Estimation in Heterogeneous Optical Networks

2021 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC)(2021)

引用 4|浏览5
暂无评分
摘要
A computationally efficient framework is presented for calculating features used for training an ANN-based estimator of the nonlinear SNR in heterogeneous networks. Its efficacy is demonstrated using data computed for 153,576 distinct system configurations. (c) 2021 The Author(s)
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要