This article is cited in 4 papers

SELECTION OF PAPERS PRESENTED AT THE INTERNATIONAL WORKSHOP ON FIBRE LASERS (20-24 SEPTEMBER 2020, NOVOSIBIRSK)

Application of neural networks to determine the discrete spectrum of the direct Zakharov – Shabat problem

E. V. Sedov^a, I. S. Chekhovskoy^a, J. E. Prilepsky^b, M. P. Fedoruk<sup>ac

a</sup> Novosibirsk State University
^b Aston Institute of Photonic Technologies, Aston University, Birmingham, UK
^c Institute of Computational Technologies, Siberian Branch of the Russian Academy of Sciences, Novosibirsk

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: nonlinear Schrödinger equation, inverse scattering problem method, Zakharov – Shabat problem, nonlinear Fourier transform, neural networks, machine learning, optical telecommunication systems, wavelength-division multiplexing.

Received: 12.10.2020

 English version: Quantum Electronics, 2020, 50:12, 1105–1109

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