Exponential convergence for high-order recurrent neural networks with a class of general activation functions

DOI10.1016/j.apm.2010.05.011zbMath1202.34132OpenAlexW1988411963MaRDI QIDQ614379

Wentao Wang, Bing Xiao, Hong Zhang

Publication date: 27 December 2010

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2010.05.011

zbMATH Keywords

exponential convergencedelaysgeneral activation functionshigh-order recurrent neural networks

Mathematics Subject Classification ID

Neural biology (92C20) Stability theory of functional-differential equations (34K20)

Related Items (2)

Exponential convergence for cellular neural networks with time-varying delays in the leakage terms ⋮ Anti-periodic solutions for BAM-type Cohen-Grossberg neural networks with time delays

Cites Work

• Exponential convergence for a class of delayed cellular neural networks with time-varying coefficients
• New convergence behavior of solutions to Cohen-Grossberg neural networks with delays and time-varying coefficients
• Exponential stability of high-order bidirectional associative memory neural networks with time delays
• Global asymptotic stability of high-order delay Hopfield neural networks with time-varying coefficients
• Global exponential stability of impulsive high-order bam neural networks with time-varying delays
• LMI-based criteria for stability of high-order neural networks with time-varying delay
• Novel global stability criteria for high-order Hopfield-type neural networks with time-varying delays
• LMI-based criteria for global robust stability of bidirectional associative memory networks with time delay
• New convergence behavior of high-order Hopfield neural networks with time-varying coefficients
• Exponential convergence behavior of solutions to shunting inhibitory cellular neural networks with delays and time-varying coefficients
• Exponential stability of impulsive high-order cellular neural networks with time-varying delays
• Global asymptotic stability of high-order Hopfield type neural networks with time delays
• Absolute exponential stability of recurrent neural networks with Lipschitz-continuous activation functions and time delays
• Absolute exponential stability of neural networks with a general class of activation functions
• High-order absolutely stable neural networks

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