Boundedness and global convergence of non-autonomous neural networks with variable delays

DOI10.1016/j.nonrwa.2008.04.004zbMath1163.92310OpenAlexW2034442851MaRDI QIDQ1026708

Lifen Yuan, Dewen Hu, Li-Hong Huang, Zhao-hui Yuan

Publication date: 29 June 2009

Published in: Nonlinear Analysis. Real World Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.nonrwa.2008.04.004

zbMATH Keywords

convergenceasymptotic system

Mathematics Subject Classification ID

Probabilistic models, generic numerical methods in probability and statistics (65C20) Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20)

Related Items (6)

Global asymptotic stability of nonautonomous Cohen-Grossberg neural network models with infinite delays ⋮ Exponential stability of non-autonomous neural networks with heterogeneous time-varying delays and destabilizing impulses ⋮ Convergence of asymptotic systems of non-autonomous neural network models with infinite distributed delays ⋮ Convergence for Hopfield neural networks with state-dependent delays ⋮ A graph-theoretic approach to boundedness of stochastic Cohen-Grossberg neural networks with Markovian switching ⋮ A new inequality of \(\mathcal{L}\)-operator and its application to stochastic non-autonomous impulsive neural networks with delays

Uses Software

• dde23

Cites Work

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