Nonlinear Equalization in Long Haul Transmission Systems Using Dynamic Multi-Layer Perceptron Networks

In this paper we investigate the application of dynamic multi-leyer perceptron networks for long haul transmission systems showing performance improvement and significant superiority of neural network complexity over digital back-propagation method.

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Bibliographic Details
Published in2018 European Conference on Optical Communication (ECOC) pp. 1 - 3
Main Authors Sidelnikov, Oleg, Redyuk, Alexey, Sygletos, Stylianos
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2018
Subjects
Artificial neural networks
Complexity theory
Computer architecture
Delays
Equalizers
Training
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Summary:In this paper we investigate the application of dynamic multi-leyer perceptron networks for long haul transmission systems showing performance improvement and significant superiority of neural network complexity over digital back-propagation method.
DOI:10.1109/ECOC.2018.8535144