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Neural network based optical network restoration with multiple classes of traffic
Date
2003-01-01
Author
Gokisik, D
Bilgen, Semih
Metadata
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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Neural-network-based optical network restoration is illustrated over an example in which multiple classes of traffic are considered. Over the pre-planned primary and backup capacity, optimal routing and wavelength assignment is carried out. In case of a network failure, protection routes and optimum flow values on these protection routes are extracted from a previously trained feed-forward neural network which is distributed over the optical data communications network.
Subject Keywords
Optical networks
,
Wavelength division multiplexing
,
Restoration
,
Neural networks
URI
https://hdl.handle.net/11511/63256
Journal
COMPUTER AND INFORMATION SCIENCES - ISCIS 2003
Collections
Graduate School of Natural and Applied Sciences, Article
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D. Gokisik and S. Bilgen, “Neural network based optical network restoration with multiple classes of traffic,”
COMPUTER AND INFORMATION SCIENCES - ISCIS 2003
, pp. 771–778, 2003, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/63256.