This article is cited in 8 papers

Special Issue 'Optical Fibres and Their Applications'

Dynamic neural network-based methods for compensation of nonlinear effects in multimode communication lines

O. S. Sidelnikov^ab, A. A. Redyuk^ab, S. Sygletos<sup>c

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

Abstract: We consider neural network-based schemes of digital signal processing. It is shown that the use of a dynamic neural network-based scheme of signal processing ensures an increase in the optical signal transmission quality in comparison with that provided by other methods for nonlinear distortion compensation.

Keywords: optical fibre, nonlinear effects, neural networks, mathematical modelling.

Received: 16.10.2017

 English version: Quantum Electronics, 2017, 47:12, 1147–1149

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