Global attractivity in delayed Hopfield neural network models
SIAM Journal on Applied Mathematics
Global exponential stability and periodic solutions of delayed cellular neural networks
Journal of Computer and System Sciences
Dynamics of a class of discete-time neural networks and their comtinuous-time counterparts
Mathematics and Computers in Simulation
Globally exponential stability conditions for cellular neural networks with time-varying delays
Applied Mathematics and Computation
AI Magazine
Nonlinear Analysis: Theory, Methods & Applications
Existence and stability of almost periodic solution for BAM neural networks with delays
Applied Mathematics and Computation
Exponential stability and periodic oscillatory solution in BAM networks with delays
IEEE Transactions on Neural Networks
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks
Global Exponential Stability of FCNNs with Bounded Uncertain Delays
ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
Globally Exponential Stability for Delayed Neural Networks Under Impulsive Control
Neural Processing Letters
Expert Systems with Applications: An International Journal
Stability of nonautonomous recurrent neural networks with time-varying delays
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
Robust stability in interval delayed neural networks of neutral type
ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I
Universal approach to study delayed dynamical systems
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
Exponential p-stability of impulsive stochastic fuzzy cellular neural networks with mixed delays
WSEAS Transactions on Mathematics
Improved global exponential stability criteria of cellular neural networks with time-varying delays
Mathematical and Computer Modelling: An International Journal
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In this paper, a class of cellular neural networks with time-varying coefficients and delays is considered. By constructing a suitable Liapunov functional and utilizing the technique of matrix analysis, some new sufficient conditions on the global exponential stability of solutions are obtained. The results obtained in this paper improve and extend some of the previous results.