Machine learning techniques for optical communication system optimization

Darko Zibar, Jesper Wass, Jakob Thrane, Molly Piels

Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

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Abstract

In this paper, machine learning techniques relevant to optical communication are presented and discussed. The focus is on applying machine learning tools to optical performance monitoring and performance prediction.
Original languageEnglish
Publication date2017
Number of pages1
DOIs
Publication statusPublished - 2017
Event19th International Conference on Transparent Optical Networks - Girona, Spain
Duration: 2 Jul 20176 Jul 2017

Conference

Conference19th International Conference on Transparent Optical Networks
CountrySpain
CityGirona
Period02/07/201706/07/2017

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