An evolving Takagi-Sugeno model based on aggregated trapezium clouds for anomaly detection in large datasets.
Meng-Xian WangJian-qiang WangPublished in: J. Intell. Fuzzy Syst. (2017)
Keyphrases
- anomaly detection
- takagi sugeno
- fuzzy model
- intrusion detection
- connectionist systems
- fuzzy systems
- neuro fuzzy
- detecting anomalies
- fuzzy control
- controller design
- network intrusion detection
- network traffic
- anomalous behavior
- fuzzy inference system
- fuzzy modeling
- intrusion detection system
- one class support vector machines
- negative selection algorithm
- transfer function
- unsupervised learning
- neural network
- nonlinear systems
- network anomaly detection
- evolutionary computation
- detect anomalies
- fuzzy rules
- decision making
- artificial intelligence