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Uncertainty Analysis for Failure Prediction in Optical Transport Network Using Bayesian Neural Network (W6A.45)

Presenter: Lingling Wang, Beijing University of Posts and Telecommunications

A Bayesian neural network-based uncertainty analysis technique is proposed for failure prediction in optical transport network, which can not only achieve F1-score up to 99.5%, but also give an uncertainty quantification for the prediction results.

Authors:Lingling Wang, Beijing University of Posts and Telecommunications / Danshi Wang, Beijing University of Posts and Telecommunications / Chunyu Zhang, Beijing University of Posts and Telecommunications / Songlin Liu, Beijing University of Posts and Telecommunications / Min Zhang, Beijing University of Posts and Telecommunications


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