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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Exponential stability of stochastic reaction–diffusion uncertain fuzzy neural networks with mixed delays and Markovian jumping parameters

Expert Systems with Applications ◽

10.1016/j.eswa.2011.08.174 ◽

2012 ◽

Vol 39 (3) ◽

pp. 3109-3115 ◽

Author(s):

P. Balasubramaniam ◽

C. Vidhya

Keyword(s):

Neural Networks ◽

Exponential Stability ◽

Reaction Diffusion ◽

Fuzzy Neural Networks ◽

Mixed Delays ◽

Markovian Jumping Parameters ◽

Markovian Jumping ◽

Fuzzy Neural ◽

Stochastic Reaction

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Stochastic exponential stability of the delayed reaction–diffusion recurrent neural networks with Markovian jumping parameters

Physics Letters A ◽

10.1016/j.physleta.2007.07.090 ◽

2008 ◽

Vol 372 (18) ◽

pp. 3201-3209 ◽

Author(s):

Linshan Wang ◽

Zhe Zhang ◽

Yangfan Wang

Keyword(s):

Neural Networks ◽

Exponential Stability ◽

Recurrent Neural Networks ◽

Reaction Diffusion ◽

Markovian Jumping Parameters ◽

Markovian Jumping ◽

Delayed Reaction

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State estimation of recurrent neural networks with two Markovian jumping parameters and mixed delays

2015 34th Chinese Control Conference (CCC) ◽

10.1109/chicc.2015.7259870 ◽

2015 ◽

Author(s):

Ren Jiaojiao ◽

Zhu Hong ◽

Zhong Shouming ◽

Zeng Yong ◽

Zhang Yuping

Keyword(s):

Neural Networks ◽

State Estimation ◽

Recurrent Neural Networks ◽

Mixed Delays ◽

Markovian Jumping Parameters ◽

Markovian Jumping

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A mode-dependent approach to state estimation of recurrent neural networks with Markovian jumping parameters and mixed delays

Neural Networks ◽

10.1016/j.neunet.2013.04.014 ◽

2013 ◽

Vol 46 ◽

pp. 50-61 ◽

Author(s):

He Huang ◽

Tingwen Huang ◽

Xiaoping Chen

Keyword(s):

Neural Networks ◽

State Estimation ◽

Recurrent Neural Networks ◽

Mixed Delays ◽

Markovian Jumping Parameters ◽

Markovian Jumping

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Improved delay-dependent globally asymptotic stability of delayed uncertain recurrent neural networks with Markovian jumping parameters

Chinese Physics B ◽

10.1088/1674-1056/19/6/060512 ◽

2010 ◽

Vol 19 (6) ◽

pp. 060512 ◽

Author(s):

Ji Yan ◽

Cui Bao-Tong

Keyword(s):

Neural Networks ◽

Asymptotic Stability ◽

Recurrent Neural Networks ◽

Markovian Jumping Parameters ◽

Markovian Jumping ◽

Globally Asymptotic Stability ◽

Delay Dependent

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Global asymptotic stability of stochastic reaction–diffusion neural networks with time delays in the leakage terms

Communications in Nonlinear Science and Numerical Simulation ◽

10.1016/j.cnsns.2011.08.036 ◽

2012 ◽

Vol 17 (4) ◽

pp. 1681-1689 ◽

Author(s):

Zhe Li ◽

Rui Xu

Keyword(s):

Neural Networks ◽

Asymptotic Stability ◽

Global Asymptotic Stability ◽

Time Delays ◽

Reaction Diffusion ◽

Stochastic Reaction

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Stability of Uncertain Reaction-Diffusion Stochastic BAM Neural Networks with Mixed Delays and Markovian Jumping Parameters

Mathematical Modelling and Scientific Computation - Communications in Computer and Information Science ◽

10.1007/978-3-642-28926-2_30 ◽

2012 ◽

pp. 283-292

Author(s):

C. Vidhya ◽

P. Balasubramaniam

Keyword(s):

Neural Networks ◽

Reaction Diffusion ◽

Mixed Delays ◽

Bam Neural Networks ◽

Markovian Jumping Parameters ◽

Markovian Jumping

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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 BAM neural networks with mixed delays

The 2010 International Conference on Apperceiving Computing and Intelligence Analysis Proceeding ◽

10.1109/icacia.2010.5709868 ◽

2010 ◽

Author(s):

Bao-Zhu Zhao

Keyword(s):

Neural Networks ◽

Asymptotic Stability ◽

Global Asymptotic Stability ◽

Mixed Delays ◽

Bam Neural Networks

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Global asymptotic stability of discrete-time recurrent neural networks

Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187) ◽

10.1109/cdc.2000.912881 ◽

2002 ◽

Author(s):

Sanqing Hu ◽

Jun Wang

Keyword(s):

Neural Networks ◽

Asymptotic Stability ◽

Discrete Time ◽

Global Asymptotic Stability ◽

Recurrent Neural Networks

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