Abstract
Neural-network-based optical network restoration is illustrated over an example in which multiple classes of traffic are considered. Over the preplanned 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.
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Gökışık, D., Bilgen, S. (2003). Neural Network Based Optical Network Restoration with Multiple Classes of Traffic. In: Yazıcı, A., Şener, C. (eds) Computer and Information Sciences - ISCIS 2003. ISCIS 2003. Lecture Notes in Computer Science, vol 2869. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39737-3_96
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DOI: https://doi.org/10.1007/978-3-540-39737-3_96
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20409-1
Online ISBN: 978-3-540-39737-3
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