Time series prediction and anomaly detection with recurrent spiking neural networks.
Yann CherdoBenoît MiramondAlain PegatoquetPublished in: IJCNN (2023)
Keyphrases
- spiking neural networks
- anomaly detection
- artificial neural networks
- biologically inspired
- feed forward
- recurrent neural networks
- intrusion detection
- learning rules
- neural network model
- anomalous behavior
- neural network
- back propagation
- biologically plausible
- network traffic
- one class support vector machines
- detecting anomalies
- network intrusion detection
- intrusion detection system
- training algorithm
- genetic algorithm
- negative selection algorithm
- motor control
- unsupervised learning
- pattern recognition
- data sets
- biological systems
- data points
- network anomaly detection