A review on anomaly detection techniques using deep learning

被引：0
|
作者：
NOMURA Y. [1 ]
机构：
[1] Dept. of Civil and Env. Eng., Ritsumeikan Univ., Noji-higashi, Kusatsu
来源：
Zairyo/Journal of the Society of Materials Science, Japan | 2020年 / 69卷 / 09期
关键词：
Anomalies; Deep learning; Outlier;
D O I：
10.2472/jsms.69.650
中图分类号：
学科分类号：
摘要：
[No abstract available]
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页码：650 / 656
页数：6
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