Egor Sedov

Egor Sedov

PhD | Researcher | Machine Learning | AI engineering

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

Published in Quantum Electronics, 2020

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.

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@article{sedov2020application,
  title={Application of neural networks to determine the discrete spectrum of the direct Zakharov--Shabat problem},
  author={Sedov, Egor Valentinovich and Chekhovskoy, Igor Sergeevich and Prilepsky, Jaroslav Evgen'evich and Fedoruk, Mikhail Petrovich},
  journal={Quantum Electronics},
  volume={50},
  number={12},
  pages={1105},
  year={2020},
  publisher={IOP Publishing}
}