Sufficient conditions for global attractivity of a class of neutral Hopfield-type neural networks.
Jian DongWanbiao MaPublished in: Neurocomputing (2015)
Keyphrases
- sufficient conditions
- neural network
- linear complementarity problem
- hopfield neural network
- exponential stability
- linear systems
- asymptotic stability
- associative memory
- delayed neural networks
- fixed point
- feed forward
- neural network model
- global exponential stability
- auto associative
- hopfield network
- neural nets
- fuzzy systems
- linear matrix inequality
- lyapunov function
- fuzzy logic
- efficiently computable
- semidefinite
- optimal policy
- dynamic programming
- genetic algorithm