Global attractivity in delayed Hopfield neural network models
SIAM Journal on Applied Mathematics
Global exponential stability of delayed Hopfield neural networks
Neural Networks
Absolute stability of a class of neural networks with unbounded delay: Research Articles
International Journal of Circuit Theory and Applications
Global convergence of delayed dynamical systems
IEEE Transactions on Neural Networks
Harmless delays for global exponential stability of Cohen-Grossberg neural networks
Mathematics and Computers in Simulation
Computers & Mathematics with Applications
Computers & Mathematics with Applications
Journal of Computational and Applied Mathematics
Computers & Mathematics with Applications
The numerical simulation of periodic solutions for a neural network
Computers & Mathematics with Applications
IEEE Transactions on Circuits and Systems II: Express Briefs
ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
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In this paper, the conditions ensuring existence, uniqueness, and global exponential stability of the equilibrium point of a class of neural networks with variable delays are studied. Without assuming global Lipschitz conditions on these activation functions, applying idea of vector Lyapunov function, the sufficient conditions for global exponential stability of neural networks are obtained.