Comparison of Semi-supervised Deep Neural Networks for Anomaly Detection in Industrial Processes.
Gavneet Singh ChadhaArfyan RabbaniAndreas SchwungPublished in: INDIN (2019)
Keyphrases
- anomaly detection
- industrial processes
- semi supervised
- unsupervised anomaly detection
- neural network
- connectionist systems
- fault detection
- industrial process
- intrusion detection
- quality improvement
- unsupervised learning
- detecting anomalies
- anomalous behavior
- network intrusion detection
- fault diagnosis
- pattern recognition
- network anomaly detection
- network traffic
- fault detection and isolation
- one class support vector machines
- detecting anomalous
- pairwise
- artificial neural networks
- negative selection algorithm
- genetic algorithm
- intrusion detection system
- fuzzy logic
- reinforcement learning
- computer vision
- self organizing maps
- labeled data
- text classification
- supervised learning
- knowledge discovery
- misuse detection