Exponential stability of hybrid stochastic recurrent neural networks with time-varying delays

DOI10.1016/j.nahs.2008.09.012zbMath1164.90006OpenAlexW2023778205MaRDI QIDQ1026396

Guoqiang Peng, Li-Hong Huang

Publication date: 24 June 2009

Published in: Nonlinear Analysis. Hybrid Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.nahs.2008.09.012

zbMATH Keywords

delayalmost surely exponential stabilityhybrid stochastic recurrent neural network

Mathematics Subject Classification ID

Stochastic network models in operations research (90B15) Stochastic stability in control theory (93E15)

Related Items (9)

Bifurcation analysis on a generalized recurrent neural network with two interconnected three-neuron components ⋮ Passivity analysis of neural networks with Markovian jumping parameters and interval time-varying delays ⋮ Exponential stability for stochastic jumping BAM neural networks with time-varying and distributed delays ⋮ Global robust passivity analysis for stochastic interval neural networks with interval time-varying delays and Markovian jumping parameters ⋮ Pullback attractors for stochastic recurrent neural networks with discrete and distributed delays ⋮ Periodic solutions for impulsive stochastic BAM neural networks with time-varying delays in leakage terms ⋮ Impulsive stochastic BAM neural networks on an invariant under a translation time scale ⋮ Periodic solutions for stochastic shunting inhibitory cellular neural networks with distributed delays ⋮ Random recurrent neural networks with delays

Cites Work

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• Mean square exponential stability of stochastic delayed Hopfield neural networks
• Exponential stability of delayed recurrent neural networks with Markovian jumping parameters
• Razumikhin method and exponential stability of hybrid stochastic delay interval systems
• Absolute stability of global pattern formation and parallel memory storage by competitive neural networks
• Recurrent Neural Networks for Computing Pseudoinverses of Rank-Deficient Matrices
• Exponential stability and instability of stochastic neural networks¹
• Stability of stochastic delay neural networks

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