Global exponential stability of impulsive complex-valued neural networks with both asynchronous time-varying and continuously distributed delays.
Qiankun SongHuan YanZhenjiang ZhaoYurong LiuPublished in: Neural Networks (2016)
Keyphrases
- global exponential stability
- complex valued
- activation function
- cellular neural networks
- neural network
- recurrent neural networks
- real valued
- artificial neural networks
- hopfield neural network
- back propagation
- feed forward
- hidden layer
- sufficient conditions
- learning rate
- neural nets
- pattern recognition
- fixed point
- linear equations
- multilayer perceptron
- network architecture
- fuzzy neural network
- training phase
- basis functions
- support vector
- support vector machine
- rbf neural network
- radial basis function
- fault diagnosis