Journal of Computer and System Sciences
Exponential stability of Cohen-Grossberg neural networks
Neural Networks
Exponential stability of continuous-time and discrete-time cellular neural networks with delays
Applied Mathematics and Computation
Existence and stability of almost periodic solution for BAM neural networks with delays
Applied Mathematics and Computation
New conditions on global stability of Cohen-Grossberg neural networks
Neural Computation
Exponential stability and periodic oscillatory solution in BAM networks with delays
IEEE Transactions on Neural Networks
Absolute exponential stability of a class of continuous-time recurrent neural networks
IEEE Transactions on Neural Networks
Delay-independent stability in bidirectional associative memory networks
IEEE Transactions on Neural Networks
Global Robust Exponential Stability of Interval General BAM Neural Network with Delays
Neural Processing Letters
Harmless delays for global exponential stability of Cohen-Grossberg neural networks
Mathematics and Computers in Simulation
International Journal of Systems Science
Robust Stability in Cohen---Grossberg Neural Network with both Time-Varying and Distributed Delays
Neural Processing Letters
Global Exponential Stability of Fuzzy Cohen-Grossberg Neural Networks with Variable Delays
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
Periodic Solution of Cohen-Grossberg Neural Networks with Variable Coefficients
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
Finite Time Stability of Cohen-Grossberg Neural Network with Time-Varying Delays
ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part I
New results for global stability of cohen-grossberg neural networks with discrete time delays
ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I
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In this paper, the Cohen-Grossberg neural networks (CGNNs) with variable and unbounded delays are studied. By using the Lipschitzian Hadamard Theorem and a property of homeomorphism mapping, some new sufficient conditions are obtained to ensure the existence, uniqueness and stability of the equilibrium point. The activation functions need only to be partially Lipschitz continuous and monotone nondecreasing, but do not require to be bounded or differentiable.