Anomaly detection of ladle driving force based on Temporal Convolutional Network.
Sen LiuPeifeng HaoPublished in: AIAM (ACM) (2021)
Keyphrases
- anomaly detection
- driving force
- convolutional network
- intrusion detection
- detecting anomalies
- convolutional neural networks
- network anomaly detection
- anomalous behavior
- network traffic
- detect anomalies
- network intrusion detection
- intrusion detection system
- one class support vector machines
- unsupervised learning
- data sets
- negative selection algorithm
- detecting anomalous
- pattern recognition