New criteria on event-triggered cluster synchronization of neutral-type neural networks with Lévy noise and non-Lipschitz condition.
Yuqing SunYihong ZhangWuneng ZhouXin ZhangXiaofeng WangPublished in: Neurocomputing (2020)
Keyphrases
- neural network
- pattern recognition
- event detection
- clustering algorithm
- back propagation
- noise level
- sufficient conditions
- fuzzy logic
- artificial neural networks
- noise model
- missing data
- neural network model
- data points
- arbitrary shape
- image noise
- data clustering
- noisy data
- multi layer
- feed forward
- recurrent neural networks
- cluster analysis
- gaussian noise
- event driven
- selection criteria
- neural nets
- signal to noise ratio
- self organizing maps
- non stationary
- multiscale
- decision trees
- image processing
- genetic algorithm