Physics-Informed Neural Network for Optical Fiber Parameter Estimation From the Nonlinear Schrödinger Equation

Author:

Jiang Xiaotian1,Wang Danshi1ORCID,Chen Xue1ORCID,Zhang Min1

Affiliation:

1. State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atomic and Molecular Physics, and Optics

Reference32 articles.

1. Understanding and Mitigating Gradient Flow Pathologies in Physics-Informed Neural Networks

2. A stochastic quasi-Newton method for online convex optimization;schraudolph;Proc 11th Int Conf Artif Intell Statist,2007

3. A linearly-convergent stochastic L-BFGS algorithm;moritz;Proc 19th Int Conf Artif Intell Statist,2016

4. Simultaneous Detection of Anomaly Points and Fiber types in Multi-span Transmission Links Only by Receiver-side Digital Signal Processing

5. Physics-oriented learning of nonlinear Schrödinger equation: Optical fiber loss and dispersion profile identification;sasai,2021

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