Robustness analysis for connection weight matrices of global exponential stability of stochastic recurrent neural networks

Neural Networks ◽

10.1016/j.neunet.2012.10.004 ◽

2013 ◽

Vol 38 ◽

pp. 17-22 ◽

Author(s):

Song Zhu ◽

Yi Shen

Keyword(s):

Neural Networks ◽

Exponential Stability ◽

Recurrent Neural Networks ◽

Global Exponential Stability ◽

Robustness Analysis ◽

Connection Weight

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Robustness Analysis for Connection Weight Matrices of Global Exponential Stability of Stochastic Delayed Recurrent Neural Networks

Circuits Systems and Signal Processing ◽

10.1007/s00034-013-9735-8 ◽

2014 ◽

Vol 33 (7) ◽

pp. 2065-2083 ◽

Author(s):

Song Zhu ◽

Weiwei Luo ◽

Yi Shen

Keyword(s):

Neural Networks ◽

Exponential Stability ◽

Recurrent Neural Networks ◽

Global Exponential Stability ◽

Robustness Analysis ◽

Connection Weight

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Improve results on robustness analysis for connection weight matrices of global exponential stability of stochastic recurrent neural networks

Proceedings of the 33rd Chinese Control Conference ◽

10.1109/chicc.2014.6895790 ◽

2014 ◽

Author(s):

Weiwei Luo ◽

Kai Zhong ◽

Song Zhu ◽

Yi Shen

Keyword(s):

Neural Networks ◽

Exponential Stability ◽

Recurrent Neural Networks ◽

Global Exponential Stability ◽

Robustness Analysis ◽

Connection Weight

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Robustness analysis for connection weight matrix of global exponential stability recurrent neural networks

Neurocomputing ◽

10.1016/j.neucom.2012.08.016 ◽

2013 ◽

Vol 101 ◽

pp. 370-374 ◽

Author(s):

Song Zhu ◽

Yi Shen

Keyword(s):

Neural Networks ◽

Exponential Stability ◽

Recurrent Neural Networks ◽

Global Exponential Stability ◽

Robustness Analysis ◽

Weight Matrix ◽

Connection Weight

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Robustness analysis for global exponential stability of reaction diffusion neural networks in the presence of uncertainty in connection weight matrices and noise

Proceedings of the 33rd Chinese Control Conference ◽

10.1109/chicc.2014.6895975 ◽

2014 ◽

Author(s):

Yan Li ◽

Junhao Hu

Keyword(s):

Neural Networks ◽

Exponential Stability ◽

Global Exponential Stability ◽

Robustness Analysis ◽

Reaction Diffusion ◽

Connection Weight

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Further results on robustness analysis of global exponential stability of recurrent neural networks with time delays and random disturbances

Neural Networks ◽

10.1016/j.neunet.2014.02.007 ◽

2014 ◽

Vol 53 ◽

pp. 127-133 ◽

Author(s):

Weiwei Luo ◽

Kai Zhong ◽

Song Zhu ◽

Yi Shen

Keyword(s):

Neural Networks ◽

Exponential Stability ◽

Recurrent Neural Networks ◽

Time Delays ◽

Global Exponential Stability ◽

Robustness Analysis ◽

Random Disturbances

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Robustness Analysis of Global Exponential Stability of Recurrent Neural Networks in the Presence of Time Delays and Random Disturbances

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2011.2178326 ◽

2012 ◽

Vol 23 (1) ◽

pp. 87-96 ◽

Author(s):

Yi Shen ◽

Jun Wang

Keyword(s):

Neural Networks ◽

Exponential Stability ◽

Recurrent Neural Networks ◽

Time Delays ◽

Global Exponential Stability ◽

Robustness Analysis ◽

Random Disturbances

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New algebraic conditions for global exponential stability of delayed recurrent neural networks

Neurocomputing ◽

10.1016/j.neucom.2004.10.104 ◽

2005 ◽

Vol 64 ◽

pp. 319-333 ◽

Author(s):

Chuandong Li ◽

Xiaofeng Liao

Keyword(s):

Neural Networks ◽

Exponential Stability ◽

Recurrent Neural Networks ◽

Global Exponential Stability

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Global exponential stability of a class of memristor-based recurrent neural networks with time-varying delays

Neurocomputing ◽

10.1016/j.neucom.2012.05.002 ◽

2012 ◽

Vol 97 ◽

pp. 149-154 ◽

Author(s):

Guodong Zhang ◽

Yi Shen ◽

Junwei Sun

Keyword(s):

Neural Networks ◽

Exponential Stability ◽

Recurrent Neural Networks ◽

Global Exponential Stability ◽

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Global exponential stability of reaction–diffusion recurrent neural networks with time-varying delays

Physics Letters A ◽

10.1016/s0375-9601(03)00945-9 ◽

2003 ◽

Vol 314 (5-6) ◽

pp. 434-442 ◽

Author(s):

Jinling Liang ◽

Jinde Cao

Keyword(s):

Neural Networks ◽

Exponential Stability ◽

Recurrent Neural Networks ◽

Global Exponential Stability ◽

Reaction Diffusion ◽

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Global exponential stability of uncertain memristor-based recurrent neural networks with mixed time delays

International Journal of Machine Learning and Cybernetics ◽

10.1007/s13042-017-0759-4 ◽

2017 ◽

Vol 10 (4) ◽

pp. 743-755

Author(s):

Jianmin Wang ◽

Fengqiu Liu ◽

Sitian Qin

Keyword(s):

Neural Networks ◽

Exponential Stability ◽

Recurrent Neural Networks ◽

Time Delays ◽

Global Exponential Stability ◽

Mixed Time Delays

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