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This article is cited in 4 scientific papers (total 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. Sedova, I. S. Chekhovskoya, J. E. Prilepskyb, M. P. Fedorukac a 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
Citation:
E. V. Sedov, I. S. Chekhovskoy, J. E. Prilepsky, M. P. Fedoruk, “Application of neural networks to determine the discrete spectrum of the direct Zakharov – Shabat problem”, Kvantovaya Elektronika, 50:12 (2020), 1105–1109 [Quantum Electron., 50:12 (2020), 1105–1109]
Linking options:
https://www.mathnet.ru/eng/qe17372 https://www.mathnet.ru/eng/qe/v50/i12/p1105
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