Global exponential stability of a class of impulsive recurrent neural networks with proportional delays via fixed point theory.
Liqun ZhouYanyan ZhangPublished in: J. Frankl. Inst. (2016)
Keyphrases
- fixed point
- recurrent neural networks
- cellular neural networks
- global exponential stability
- neural network
- sufficient conditions
- hopfield neural network
- dynamical systems
- feed forward
- echo state networks
- hidden layer
- belief propagation
- fixed point theorem
- initial conditions
- artificial neural networks
- computer vision
- support vector
- decision making
- genetic algorithm