Novel criteria for global exponential periodicity and stability of recurrent neural networks with time-varying delays
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Publication:2470629
DOI10.1016/j.chaos.2006.07.002zbMath1141.93393OpenAlexW2026566421MaRDI QIDQ2470629
Publication date: 14 February 2008
Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.chaos.2006.07.002
Neural networks for/in biological studies, artificial life and related topics (92B20) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05)
Related Items (8)
Stability criteria for Cohen-Grossberg neural networks with mixed delays and inverse Lipschitz neuron activations ⋮ Periodic solution for nonautonomous cellular neural networks with impulses ⋮ Novel global robust stability criterion for neural networks with delay ⋮ New delay-dependent global asymptotic stability criteria of delayed BAM neural networks ⋮ A nonlinear version of Halanay inequality and application to neural networks theory ⋮ A nonlinear version of the distributed Halanay inequality and its application ⋮ Asymptotic behavior of a BAM neural network with delays of distributed type ⋮ Exponential decay for a system of equations with distributed delays
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