Global exponential stability of discrete-time higher-order Cohen-Grossberg neural networks with time-varying delays, connection weights and impulses.
Zeyu DongXian ZhangXin WangPublished in: J. Frankl. Inst. (2021)
Keyphrases
- global exponential stability
- connection weights
- higher order
- activation function
- neural network
- hopfield neural network
- recurrent neural networks
- artificial neural networks
- exponential stability
- hidden layer
- back propagation
- cellular neural networks
- fuzzy neural network
- feed forward
- network architecture
- sufficient conditions
- bp neural network
- learning rules
- neural nets
- neural network model
- input patterns
- markov random field
- pairwise
- multilayer perceptron
- genetic algorithm
- training phase
- basis functions
- energy function
- learning rate
- fuzzy logic
- lyapunov function
- input space
- radial basis function
- fixed point
- multi layer perceptron
- input output
- fault diagnosis
- input data
- data points