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Nov 28, 2018 � Based on LMI computation, numerical examples are employed to show that the new results are less restrictive and less conservative than some�...
This paper studies the problem of stability analysis for discrete-time recurrent neural networks (DRNNs) with time-varying delays. Under a weak assumption on�...
... Computation Practice and Experience, volume 33, issue 8. Dynamics of interval Cohen‐Grossberg neural networks with time‐varying delays based on LMI computation.
This Letter studies the Cohen–Grossberg networks dynamical systems with variable coefficients and time-varying delays. By applying the Young inequality�...
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In this paper, the problem of robust exponential stability for a class of interval Cohen–Grossberg neural networks with time-varying delays is investigated.
In this paper, the Cohen-Grossberg neural network model with both time-varying and continuously distributed delays is considered.
In the paper, a new exponentially robust stability criterion for interval fuzzy Cohen-Grossberg type neural networks with time- varying delays is obtained�...
Dynamics of interval Cohen‐Grossberg neural networks with time‐varying delays based on LMI computation � Computer Science, Mathematics. Concurr. Comput. Pract.
This paper deals with the problem of state estimation for discrete-time recurrent neural networks with interval discrete and infinite-distributed time-varying�...
This paper addresses the issue of the convergence dynamics of stochastic Cohen-Grossberg neural networks (SCGNNs) with white noise, whose state variables�...