Transfer Learning for Neural Networks-based Equalizers in Coherent Optical Systems
Transfer Learning for Neural Networks-based Equalizers in Coherent Optical Systems
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Ithaca: Cornell University Library, arXiv.org
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Language
English
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Publisher
Ithaca: Cornell University Library, arXiv.org
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Contents
In this work, we address the question of the adaptability of artificial neural networks (NNs) used for impairments mitigation in optical transmission systems. We demonstrate that by using well-developed techniques based on the concept of transfer learning, we can efficaciously retrain NN-based equalizers to adapt to the changes in the transmission...
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Full title
Transfer Learning for Neural Networks-based Equalizers in Coherent Optical Systems
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Record Identifier
TN_cdi_proquest_journals_2512170847
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2512170847
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E-ISSN
2331-8422
DOI
10.48550/arxiv.2104.05081
