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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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 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 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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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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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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Global Asymptotic Stability of High-Order Delay Hopfield Neural Networks with Time-Varying Coefficients

Zeitschrift für Analysis und ihre Anwendungen ◽

10.4171/zaa/1249 ◽

2005 ◽

pp. 419-429 ◽

Author(s):

PEIGUANG WANG ◽

HAIRONG LIAN ◽

YONGHONG WU

Keyword(s):

Neural Networks ◽

Asymptotic Stability ◽

Global Asymptotic Stability ◽

Hopfield Neural Networks ◽

Time Varying ◽

Varying Coefficients ◽

Time Varying Coefficients

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On global asymptotic stability criteria for cellular neural networks with discrete and distributed time-varying delays

Third International Workshop on Advanced Computational Intelligence ◽

10.1109/iwaci.2010.5585133 ◽

2010 ◽

Author(s):

Bin Huang ◽

Minghui Jiang ◽

Ting Zhang

Keyword(s):

Neural Networks ◽

Asymptotic Stability ◽

Global Asymptotic Stability ◽

Cellular Neural Networks ◽

Time Varying ◽

Stability Criteria

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Global asymptotic stability of stochastic reaction-diffusion recurrent neural networks with Markovian jumping parameters and mixed delays

The Journal of Analysis ◽

10.1007/s41478-018-0123-4 ◽

2018 ◽

Vol 27 (1) ◽

pp. 277-292 ◽

Author(s):

C. Vidhya ◽

S. Dharani ◽

P. Balasubramaniam

Keyword(s):

Neural Networks ◽

Asymptotic Stability ◽

Global Asymptotic Stability ◽

Recurrent Neural Networks ◽

Reaction Diffusion ◽

Mixed Delays ◽

Markovian Jumping Parameters ◽

Markovian Jumping ◽

Stochastic Reaction

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Global asymptotic stability analysis for neutral-type complex-valued neural networks with random time-varying delays

International Journal of Systems Science ◽

10.1080/00207721.2019.1623340 ◽

2019 ◽

Vol 50 (9) ◽

pp. 1742-1756 ◽

Author(s):

R. Sriraman ◽

R. Samidurai

Keyword(s):

Neural Networks ◽

Stability Analysis ◽

Asymptotic Stability ◽

Global Asymptotic Stability ◽

Neutral Type ◽

Random Time ◽

Time Varying ◽

Type Complex ◽

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