no code implementations • 24 Aug 2021 • Yubin Zang, Zhenming Yu, Kun Xu, Xingzeng Lan, Minghua Chen, Sigang Yang, Hongwei Chen
Instead of adopting input signals and output signals which are calculated by SSFM algorithm in advance before training, this principle-driven PINN based fiber model adopts frames of time and distance as its inputs and the corresponding real and imaginary parts of NLSE solutions as its outputs.
no code implementations • 13 Sep 2019 • Yubin Zang, Minghua Chen, Sigang Yang, Hongwei Chen
In this paper, a novel architecture of electro-optical neural networks based on the time-stretch method is proposed and numerically simulated.
