人工神经网络
贝叶斯网络
计算机科学
贝叶斯概率
人工智能
机器学习
数据挖掘
作者
Lingling Wang,Danshi Wang,Chunyu Zhang,Songlin Liu,Min Zhang
标识
DOI:10.1364/ofc.2021.w6a.45
摘要
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.
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