@article{1ee36bf2638845c3b296e43b84f23f37,
title = "Application of neural networks to determine the discrete spectrum of the direct Zakharov - Shabat problem",
abstract = "A neural network architecture is proposed to determine the number of solitons generated by random processes in optical wavelength-division multiplexed telecommunication systems with QPSK, 16-QAM, 64-QAM, and 1024-QAM modulation. The dependence of the prediction quality of a neural network with a special architecture on the number of soliton modes in the signal and the parameters of this signal is studied. ",
keywords = "inverse scattering problem method, machine learning, neural networks, nonlinear Fourier transform, nonlinear Schr{\"o}dinger equation, optical telecommunication systems, wavelength-division multiplexing, Zakharov - Shabat problem",
author = "Sedov, {E. V.} and Chekhovskoy, {I. S.} and Prilepsky, {J. E.} and Fedoruk, {M. P.}",
note = "Funding Information: The work was supported by the Fund of the President of the Russian Federation for State Support of Young Russian Scientists (Grant No. MK-677.2020.9). The work of I.S. Chekhovskoy was supported by the state assignment for fundamental research (FSUS-2020-0034), and the work of J.E. Prilepsky was supported by the Leverhulme Trust (Project RPG-2018-063). Publisher Copyright: {\textcopyright} 2020 Kvantovaya Elektronika, Turpion Ltd and IOP Publishing Ltd. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.",
year = "2020",
month = dec,
doi = "10.1070/QEL17463",
language = "English",
volume = "50",
pages = "1105--1109",
journal = "Quantum Electronics",
issn = "1063-7818",
publisher = "Turpion Ltd.",
number = "12",
}