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Convolutional neural networks with multiple layers per span for nonlinearity mitigation in long-haul WDM transmission systems. / Sidelnikov, Oleg; Redyuk, Alexey; Sygletos, Stylianos et al.

The European Conference on Lasers and Electro-Optics, CLEO/Europe 2021. The Optical Society, 2021. ci_p_6 (Optics InfoBase Conference Papers).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Sidelnikov, O, Redyuk, A, Sygletos, S, Fedoruk, M & Turitsyn, S 2021, Convolutional neural networks with multiple layers per span for nonlinearity mitigation in long-haul WDM transmission systems. in The European Conference on Lasers and Electro-Optics, CLEO/Europe 2021., ci_p_6, Optics InfoBase Conference Papers, The Optical Society, 2021 European Conference on Lasers and Electro-Optics, CLEO/Europe 2021, Virtual, Online, Germany, 21.06.2021.

APA

Sidelnikov, O., Redyuk, A., Sygletos, S., Fedoruk, M., & Turitsyn, S. (2021). Convolutional neural networks with multiple layers per span for nonlinearity mitigation in long-haul WDM transmission systems. In The European Conference on Lasers and Electro-Optics, CLEO/Europe 2021 [ci_p_6] (Optics InfoBase Conference Papers). The Optical Society.

Vancouver

Sidelnikov O, Redyuk A, Sygletos S, Fedoruk M, Turitsyn S. Convolutional neural networks with multiple layers per span for nonlinearity mitigation in long-haul WDM transmission systems. In The European Conference on Lasers and Electro-Optics, CLEO/Europe 2021. The Optical Society. 2021. ci_p_6. (Optics InfoBase Conference Papers).

Author

Sidelnikov, Oleg ; Redyuk, Alexey ; Sygletos, Stylianos et al. / Convolutional neural networks with multiple layers per span for nonlinearity mitigation in long-haul WDM transmission systems. The European Conference on Lasers and Electro-Optics, CLEO/Europe 2021. The Optical Society, 2021. (Optics InfoBase Conference Papers).

BibTeX

@inproceedings{5245277aa638402d8da913fa553f9baa,
title = "Convolutional neural networks with multiple layers per span for nonlinearity mitigation in long-haul WDM transmission systems",
abstract = "In this work, we study the effect of the number of deep convolutional neural network layers on the efficiency of nonlinear distortion compensation in long-haul WDM transmission systems.",
author = "Oleg Sidelnikov and Alexey Redyuk and Stylianos Sygletos and Mikhail Fedoruk and Sergei Turitsyn",
note = "Funding Information: The work was supported by the Russian Science Foundation (Grant No. 17-72-30006).; 2021 European Conference on Lasers and Electro-Optics, CLEO/Europe 2021 ; Conference date: 21-06-2021 Through 25-06-2021",
year = "2021",
language = "English",
series = "Optics InfoBase Conference Papers",
publisher = "The Optical Society",
booktitle = "The European Conference on Lasers and Electro-Optics, CLEO/Europe 2021",
address = "United States",

}

RIS

TY - GEN

T1 - Convolutional neural networks with multiple layers per span for nonlinearity mitigation in long-haul WDM transmission systems

AU - Sidelnikov, Oleg

AU - Redyuk, Alexey

AU - Sygletos, Stylianos

AU - Fedoruk, Mikhail

AU - Turitsyn, Sergei

N1 - Funding Information: The work was supported by the Russian Science Foundation (Grant No. 17-72-30006).

PY - 2021

Y1 - 2021

N2 - In this work, we study the effect of the number of deep convolutional neural network layers on the efficiency of nonlinear distortion compensation in long-haul WDM transmission systems.

AB - In this work, we study the effect of the number of deep convolutional neural network layers on the efficiency of nonlinear distortion compensation in long-haul WDM transmission systems.

UR - http://www.scopus.com/inward/record.url?scp=85120433388&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85120433388

T3 - Optics InfoBase Conference Papers

BT - The European Conference on Lasers and Electro-Optics, CLEO/Europe 2021

PB - The Optical Society

T2 - 2021 European Conference on Lasers and Electro-Optics, CLEO/Europe 2021

Y2 - 21 June 2021 through 25 June 2021

ER -

ID: 34891400