Detecting Coal Pulverizing System Anomaly Using a Gated Recurrent Unit and Clustering.
Zian ChenZhiyu YanHaojun JiangZijun QueGuozhen GaoZhengguo XuPublished in: Sensors (2020)
Keyphrases
- anomaly detection
- clustering algorithm
- detecting anomalies
- clustering method
- detect anomalies
- k means
- unsupervised learning
- self organizing maps
- data clustering
- document clustering
- hierarchical clustering
- recurrent neural networks
- categorical data
- intrusion detection
- supervised learning
- graph theoretic
- fuzzy c means
- automatic detection
- distance metric
- network traffic
- cluster analysis
- information theoretic
- database
- microarray
- artificial neural networks
- genetic algorithm
- machine learning