Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > ACPC > 2020 > M4A > M4A.197
  • Asia Communications and Photonics Conference/International Conference on Information Photonics and Optical Communications 2020 (ACP/IPOC)
  • OSA Technical Digest (Optica Publishing Group, 2020),
  • paper M4A.197
  • •https://doi.org/10.1364/ACPC.2020.M4A.197

Transfer learning aided concurrent multi-alarm prediction in optical transport networks

Bing Zhang, Yongli Zhao, Yajie Li, and Jie Zhang

Not Accessible

Your library or personal account may give you access

Abstract

Using transfer learning for concurrent multi-alarm prediction in optical transport networks, we assess prediction precision, data volume, and model training time. The method can effectively improve the efficiency of prediction while maintaining accuracy.

© 2020 The Author(s)

PDF Article
More Like This
Deep Learning for Multi-Step Performance Prediction in Operational Optical Networks

Ameni Mezni, Douglas W. Charlton, Christine Tremblay, and Christian Desrosiers
STh4M.1 CLEO: Science and Innovations (CLEO:S&I) 2020

Evol-TL: Evolutionary Transfer Learning for QoT Estimation in Multi-Domain Networks

Che-Yu Liu, Xiaoliang Chen, Roberto Proietti, and S. J. Ben Yoo
Th3D.1 Optical Fiber Communication Conference (OFC) 2020

Collaborative Learning in Multi-Domain Optical Networks

Xiaoliang Chen, Roberto Proietti, Che-Yu Liu, and S. J. Ben Yoo
T3C.2 Asia Communications and Photonics Conference (ACP) 2020

View More...
Select as filters
Select Topics Cancel
Top
       
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.
Privacy | Terms of Use