Robust stability of mixed Cohen-Grossberg neural networks with discontinuous activation functions.
Chengde ZhengYe LiuYan XiaoPublished in: Int. J. Intell. Comput. Cybern. (2019)
Keyphrases
- activation function
- robust stability
- asymptotic stability
- exponential stability
- neural network
- sufficient conditions
- lyapunov function
- artificial neural networks
- back propagation
- learning rate
- feed forward
- real time control
- hidden layer
- neural nets
- feed forward neural networks
- nonlinear systems
- closed loop
- network architecture
- chaotic systems
- multilayer perceptron
- linear matrix inequality
- basis functions
- fuzzy controller
- hopfield neural network
- reinforcement learning
- recurrent neural networks
- fuzzy neural network
- training phase
- input output
- artificial intelligence