Global asymptotical stability of continuous-time delayed neural networks without global Lipschitz activation functions
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Publication:718002
DOI10.1016/J.CNSNS.2009.01.032zbMath1221.34202OpenAlexW1966246007MaRDI QIDQ718002
Publication date: 23 September 2011
Published in: Communications in Nonlinear Science and Numerical Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cnsns.2009.01.032
Neural networks for/in biological studies, artificial life and related topics (92B20) Stability theory of functional-differential equations (34K20)
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Cites Work
- Stability analysis of neural networks with both variable and unbounded delays
- Harmless delays for global exponential stability of Cohen-Grossberg neural networks
- Dynamics of Cohen-Grossberg neural network with variable coefficients and time-varying delays
- Globally exponential stability of neural network with constant and variable delays
- Introduction to functional differential equations
- Exponential stability of continuous-time and discrete-time bidirectional associative memory networks with delays
- Global exponential stability and existence of periodic solutions in BAM networks with delays and reaction-diffusion terms
- An analysis of exponential stability of delayed neural networks with time varying delays
- Global exponential stability in DCNNs with distributed delays and unbounded activations
- Dynamic analysis of high-order Cohen-Grossberg neural networks with time delay
- A further analysis on harmless delays in Cohen-Grossberg neural networks
- On the global dissipativity of dynamical neural networks with time delays
- New results on the existence and uniqueness of almost periodic solution for BAM neural networks with continuously distributed delays
- New conditions for global exponential stability of cellular neural networks with delays
- New conditions for global stability of neural networks with application to linear and quadratic programming problems
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