Exponential stability of continuous-time and discrete-time cellular neural networks with delays
Applied Mathematics and Computation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Improved global robust asymptotic stability criteria for delayed cellular neural networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
New Delay-Dependent Exponential Stability for Neural Networks With Time Delay
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A new criterion for exponential stability of uncertain stochastic neural networks with mixed delays
Mathematical and Computer Modelling: An International Journal
Recurrent neural nets as dynamical Boolean systems with application to associative memory
IEEE Transactions on Neural Networks
An improved global asymptotic stability criterion for delayed cellular neural networks
IEEE Transactions on Neural Networks
Stability analysis for stochastic Cohen-Grossberg neural networks with mixed time delays
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Stability and Hopf Bifurcation in a Simplified BAM Neural Network With Two Time Delays
IEEE Transactions on Neural Networks
Stability Analysis and the Stabilization of a Class of Discrete-Time Dynamic Neural Networks
IEEE Transactions on Neural Networks
Discrete-Time Analogs for a Class of Continuous-Time Recurrent Neural Networks
IEEE Transactions on Neural Networks
Absolute stability conditions for discrete-time recurrent neural networks
IEEE Transactions on Neural Networks
Robust stability analysis for stochastic neural networks with time-varying delay
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Invariant set and attractor of discrete-time impulsive recurrent neural networks
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part I
International Journal of Innovative Computing and Applications
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In this paper, the problem of stability analysis of discrete-time recurrent neural networks with time-varying delay is studied. Based on the general assumption of time delay (that is 0