Global robust stability analysis for BAM neural networks with time-varying delays-Reference-Cited by-同舟云学术

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Global robust stability analysis for BAM neural networks with time-varying delays

Published:2013-11 Issue: Volume:120 Page:499-503
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Li Xiaolin,Jia Jia

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference26 articles.

1. Neural Networks and Fuzzy Systems: A Dynamical System Approach to Machine Intelligence;Kosko,1992

2. Adaptive bidirectional associative memories;Kosko;Appl. Opt.,1987

3. Bidirectional associative memories;Kosko;IEEE Trans. Syst. Man Cybern.,1988

4. Improved global robust stability criteria for delayed neural networks;Shen;IEEE Trans. Circuit Syst. II,2007

5. Robust stability of interval bidirectional associative memory neural network with time delays;Liao;IEEE Trans. Syst. Man Cybern. B,2004

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1. A sampled-data stabilisation analysis on memristive BAM neural networks for memductance function;International Journal of Control;2023-10-27

2. Robust stability of dynamical neural networks with multiple time delays: a review and new results;Artificial Intelligence Review;2023-08-10

3. Impulsive effects on stochastic bidirectional associative memory neural networks with reaction-diffusion and leakage delays;International Journal of Computer Mathematics;2021-12-27

4. Asymptotic behavior of a BAM neural network with delays of distributed type;Mathematical Modelling of Natural Phenomena;2021

5. On the stability and Lyapunov direct method for fractional difference model of BAM neural networks;Journal of Intelligent & Fuzzy Systems;2020-03-04

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