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Novel mean square exponential stability criterion of uncertain stochastic interval type-2 fuzzy neural networks with multiple time-varying delays

PROCEEDINGS ARTICLE published July 2017 in 2017 36th Chinese Control Conference (CCC)

Authors: Deqiang Zeng | Kaibo Shi | Ruimei Zhang | Shouming Zhong

https://doi.org/10.23919/chicc.2017.8027622 Actions

Lasalle method and general decay stability of stochastic neural networks with mixed delays

JOURNAL ARTICLE published February 2012 in Journal of Applied Mathematics and Computing

Authors: Yangzi Hu | Chengming Huang

https://doi.org/10.1007/s12190-011-0477-0 Actions

Mean square exponential stability of uncertain stochastic neural networks with time-varying delay

JOURNAL ARTICLE published June 2009 in Neurocomputing

Authors: Yuanyuan Wu | Yuqiang Wu | Yonggang Chen

https://doi.org/10.1016/j.neucom.2008.12.001 Actions

Exponential Stability of Impulsive Hopfield Neural Networks with Time Delays

BOOK CHAPTER published 2009 in Advances in Neural Networks – ISNN 2009

Authors: Tingyan Xing | Muyao Shi | Wenjie Jiang | Nan Zhang | Tuo Wang

https://doi.org/10.1007/978-3-642-01507-6_58 Actions

Exponential Stability of Stochastic Neural Networks with Mixed Time-Delays

BOOK CHAPTER published 2011 in Advances in Neural Networks – ISNN 2011

Authors: Xuejing Meng | Maosheng Tian | Peng Hu | Shigeng Hu

https://doi.org/10.1007/978-3-642-21105-8_24 Actions

Global Exponential Stability Analysis for Uncertain Neural Networks with Discrete and Distributed Time-Varying Delays

PROCEEDINGS ARTICLE published June 2009 in 2009 International Conference on Computational Intelligence and Natural Computing

Authors: Wei Guan | Yiming Chen | Hongxia Sun | Zenghui Xu

https://doi.org/10.1109/cinc.2009.262 Actions

Exponential stability analysis for uncertain neural networks with interval time-varying delays

JOURNAL ARTICLE published June 2009 in Applied Mathematics and Computation

Authors: O.M. Kwon | Ju H. Park

https://doi.org/10.1016/j.amc.2009.02.043 Actions

Global exponential stability of impulsive BAM neural networks with distributed delays

JOURNAL ARTICLE published March 2009 in Neurocomputing

Authors: Jie Zhou | Shuyong Li

https://doi.org/10.1016/j.neucom.2008.08.008 Actions

Exponential synchronization of stochastic Cohen–Grossberg neural networks with mixed time-varying delays and reaction–diffusion via periodically intermittent control

JOURNAL ARTICLE published July 2012 in Neural Networks

Authors: Qintao Gan

https://doi.org/10.1016/j.neunet.2012.02.039 Actions

Exponential Stability of Stochastic Cohen-Grossberg Neural Networks with Time-Varying Delays

BOOK CHAPTER published 2005 in Advances in Neural Networks — ISNN 2005

Authors: Xiaolin Li | Jinde Cao

https://doi.org/10.1007/11427391_24 Actions

Exponential synchronization of stochastic chaotic neural networks with mixed time delays and Markovian switching

JOURNAL ARTICLE published August 2014 in Neural Computing and Applications

Authors: Cheng-De Zheng | Huaguang Zhang | Zhanshan Wang

https://doi.org/10.1007/s00521-013-1507-7 Actions

Mean square exponential stability of stochastic Hopfield neural networks with mixed delays

JOURNAL ARTICLE published July 2017 in Statistics & Probability Letters

Authors: Xiaofei Li | Deng Ding

https://doi.org/10.1016/j.spl.2017.02.029 Actions

Exponential stability in the mean square for stochastic neural networks with mixed time-delays and Markovian jumping parameters

JOURNAL ARTICLE published July 2009 in Nonlinear Dynamics

Authors: Guanjun Wang | Jinde Cao | Jinling Liang

https://doi.org/10.1007/s11071-008-9433-4 Actions

Existence and Global Exponential Stability of Almost Periodic Solution for High-Order BAM Neural Networks with Delays on Time Scales

JOURNAL ARTICLE published June 2014 in Neural Processing Letters

Authors: Yongkun Li | Chao Wang | Xia Li

https://doi.org/10.1007/s11063-013-9302-0 Actions

Stability of uncertain impulsive stochastic fuzzy neural networks with two additive time delays in the leakage term

JOURNAL ARTICLE published February 2015 in Neural Computing and Applications

Authors: Jun Li | Manfeng Hu | Liuxiao Guo | Yongqing Yang | Yinghua Jin

https://doi.org/10.1007/s00521-014-1737-3 Actions

Exponential stability of neural stochastic Hopfield neural networks with time varying delays

PROCEEDINGS ARTICLE published August 2019 in 2019 IEEE Conference on Control Technology and Applications (CCTA)

Authors: Linna Liu | Feiqi Deng

https://doi.org/10.1109/ccta.2019.8920480 Actions

Exponential Stability of Impulsive High-Order Hopfield-Type Neural Networks With Time-Varying Delays

JOURNAL ARTICLE published November 2005 in IEEE Transactions on Neural Networks

Authors: X. Liu | K.L. Teo | B. Xu

https://doi.org/10.1109/tnn.2005.857949 Actions

Global exponential stability of Markovian jumping stochastic impulsive uncertain BAM neural networks with leakage, mixed time delays, and α-inverse Hölder activation functions

JOURNAL ARTICLE published December 2018 in Advances in Difference Equations

Research funded by National Natural Science Foundation of China (61573096,) | Jiangsu Provincial Key Laboratory of Networked Collective Intelligence (BM2017002) | Rajiv Gandhi National Fellowship under the University Grant Commission, New Delhi (F1-17.1/2016-17/RGNF-2015-17-SC-TAM-21509) | Thailand research grant fund (RSA5980019)

Authors: C. Maharajan | R. Raja | Jinde Cao | G. Ravi | G. Rajchakit

https://doi.org/10.1186/s13662-018-1553-7 Actions

Delay-Dependent Exponential Stability of Discrete-Time BAM Neural Networks with Time Varying Delays

BOOK CHAPTER published 2009 in Advances in Neural Networks – ISNN 2009

Authors: Rui Zhang | Zhanshan Wang | Jian Feng | Yuanwei Jing

https://doi.org/10.1007/978-3-642-01507-6_51 Actions

Exponential synchronization of neural networks with time-varying delays and stochastic impulses

JOURNAL ARTICLE published December 2020 in Neural Networks

Research funded by National Natural Science Foundation of China (61503115,61773185)

Authors: Yifan Sun | Lulu Li | Xiaoyang Liu

https://doi.org/10.1016/j.neunet.2020.09.014 Actions
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