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Machine-Learning-Based Soft-Failure Detection and Identification in Optical Networks

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Abstract

We develop and test several machine-learning methods to perform detection and identification of equipment failures in optical networks. Results, obtained over real BER traces, show above 98% accuracy in most cases with reasonable algorithm complexity.

© 2018 The Author(s)

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