Global Asymptotic Stability of Recurrent Neural Networks With Multiple Time-Varying Delays

IEEE Transactions on Neural Networks ◽

10.1109/tnn.2007.912319 ◽

2008 ◽

Vol 19 (5) ◽

pp. 855-873 ◽

Author(s):

Huaguang Zhang ◽

Zhanshan Wang ◽

Derong Liu

Keyword(s):

Neural Networks ◽

Asymptotic Stability ◽

Global Asymptotic Stability ◽

Recurrent Neural Networks ◽

Multiple Time ◽

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New global asymptotic stability of discrete-time recurrent neural networks with multiple time-varying delays in the leakage term and impulsive effects

Neurocomputing ◽

10.1016/j.neucom.2016.06.040 ◽

2016 ◽

Vol 214 ◽

pp. 420-429 ◽

Author(s):

K. Balasundaram ◽

R. Raja ◽

Quanxin Zhu ◽

S. Chandrasekaran ◽

Hongwei Zhou

Keyword(s):

Neural Networks ◽

Asymptotic Stability ◽

Discrete Time ◽

Global Asymptotic Stability ◽

Recurrent Neural Networks ◽

Impulsive Effects ◽

Multiple Time ◽

Time Varying ◽

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Global asymptotic stability of stochastic fuzzy cellular neural networks with multiple time-varying delays

Expert Systems with Applications ◽

10.1016/j.eswa.2010.04.067 ◽

2010 ◽

Vol 37 (12) ◽

pp. 7737-7744 ◽

Author(s):

P. Balasubramaniam ◽

M. Syed Ali ◽

Sabri Arik

Keyword(s):

Neural Networks ◽

Asymptotic Stability ◽

Global Asymptotic Stability ◽

Cellular Neural Networks ◽

Multiple Time ◽

Time Varying ◽

Fuzzy Cellular Neural Networks

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Global asymptotic stability of fractional-order competitive neural networks with multiple time-varying-delay links

Applied Mathematics and Computation ◽

10.1016/j.amc.2020.125498 ◽

2021 ◽

Vol 389 ◽

pp. 125498 ◽

Author(s):

Yao Xu ◽

Jintong Yu ◽

Wenxue Li ◽

Jiqiang Feng

Keyword(s):

Neural Networks ◽

Asymptotic Stability ◽

Fractional Order ◽

Global Asymptotic Stability ◽

Multiple Time ◽

Time Varying ◽

Time Varying Delay ◽

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New delay dependent robust asymptotic stability for uncertain stochastic recurrent neural networks with multiple time varying delays

Journal of the Franklin Institute ◽

10.1016/j.jfranklin.2012.03.007 ◽

2012 ◽

Vol 349 (6) ◽

pp. 2108-2123 ◽

Author(s):

R. Raja ◽

R. Samidurai

Keyword(s):

Neural Networks ◽

Asymptotic Stability ◽

Recurrent Neural Networks ◽

Multiple Time ◽

Time Varying ◽

Delay Dependent ◽

Robust Asymptotic Stability

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Global Asymptotic Stability of Recurrent Neural Networks with Time-Varying Delays and Impulses

2008 Fourth International Conference on Natural Computation ◽

10.1109/icnc.2008.541 ◽

2008 ◽

Author(s):

Chunbo Xing ◽

Zhanji Gui

Keyword(s):

Neural Networks ◽

Asymptotic Stability ◽

Global Asymptotic Stability ◽

Recurrent Neural Networks ◽

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On global asymptotic stability of recurrent neural networks with time-varying delays

Applied Mathematics and Computation ◽

10.1016/s0096-3003(02)00289-8 ◽

2003 ◽

Vol 142 (1) ◽

pp. 143-154 ◽

Author(s):

He Huang ◽

Jinde Cao

Keyword(s):

Neural Networks ◽

Asymptotic Stability ◽

Global Asymptotic Stability ◽

Recurrent Neural Networks ◽

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Global Asymptotic Stability of Recurrent Neural Networks with Time Varying Delays

2007 IEEE International Symposium on Circuits and Systems ◽

10.1109/iscas.2007.378139 ◽

2007 ◽

Author(s):

Huanxin Guan ◽

Huaguang Zhang ◽

Zhanshan Wang ◽

Derong Liu

Keyword(s):

Neural Networks ◽

Asymptotic Stability ◽

Global Asymptotic Stability ◽

Recurrent Neural Networks ◽

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Global asymptotic stability of a general class of recurrent neural networks with time-varying delays

IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications ◽

10.1109/tcsi.2002.807494 ◽

2003 ◽

Vol 50 (1) ◽

pp. 34-44 ◽

Author(s):

Jinde Cao ◽

Jun Wang

Keyword(s):

Neural Networks ◽

Asymptotic Stability ◽

Global Asymptotic Stability ◽

Recurrent Neural Networks ◽

General Class ◽

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Extended dissipativity and non-fragile synchronization for Recurrent neural networks with multiple time-varying delays via sampled-data control

IEEE Access ◽

10.1109/access.2021.3060044 ◽

2021 ◽

pp. 1-1

Author(s):

R. Anbuvithya ◽

S. Dheepika Sri ◽

R. Vadivel ◽

Nallappan Gunasekaran ◽

P. Hammachukiattikul

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Multiple Time ◽

Time Varying ◽

Sampled Data ◽

Data Control ◽

Sampled Data Control

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On global asymptotic stability of fully connected recurrent neural networks

2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100) ◽

10.1109/icassp.2000.860132 ◽

2002 ◽

Author(s):

D.P. Mandic ◽

J.A. Chambers ◽

M.M. Bozic

Keyword(s):

Neural Networks ◽

Asymptotic Stability ◽

Global Asymptotic Stability ◽

Recurrent Neural Networks ◽

Fully Connected

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