Results 191 to 200 of about 4,381 (217)

Stability of Stochastic Cohen-Grossberg Neural Networks

2004
Almost sure stability and instability of stochastic Cohen–Grossberg neural networks are addressed in this paper. Our results can be used as theoretic guidance to stabilize neural networks in practical applications when stochastic noise is take into consideration.
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Convergence analysis for second-order interval Cohen–Grossberg neural networks

Communications in Nonlinear Science and Numerical Simulation, 2014
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Qin, Sitian, Xu, Jingxue, Shi, Xin
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Qualitative analysis of Cohen-Grossberg neural networks with multiple delays

Physical Review E, 1995
It is well known that a class of artificial neural networks with symmetric interconnections and without transmission delays, known as Cohen-Grossberg neural networks, possesses global stability (i.e., all trajectories tend to some equilibrium). We demonstrate in the present paper that many of the qualitative properties of Cohen-Grossberg networks will ...
, Ye, , Michel, , Wang
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Intermittent boundary stabilization of stochastic reaction–diffusion Cohen–Grossberg neural networks

Neural Networks, 2020
Cohen-Grossberg neural networks (CGNNs) play an important role in many applications and the stabilization of this system has been well studied. This study considers the exponential stabilization for stochastic reaction-diffusion Cohen-Grossberg neural networks (SRDCGNNs) by means of an aperiodically intermittent boundary control.
Xiao-Zhen Liu, Kai-Ning Wu, Weihai Zhang
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Stability analysis of non-autonomous stochastic Cohen–Grossberg neural networks

Nonlinear Dynamics, 2008
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Huang, Chuangxia, He, Yigang, Huang, Lihong   +2 more
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Robust control of delayed Cohen–Grossberg neural networks

International Journal of Adaptive Control and Signal Processing, 2007
AbstractIn this paper, robust control of Cohen–Grossberg neural networks with time delays is considered based on Lyapunov functional method and matrix inequality technique. Several new controllers with time delays and without time delays are designed to ensure the global asymptotic stability of equilibrium point, respectively.
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Stability of Cohen–Grossberg neural networks with unbounded distributed delays

Chaos, Solitons & Fractals, 2007
The paper deals with the following system, being referred to as Cohen-Grossberg neural network model with distributed delay: \[ \begin{multlined}\dot x_i(t)=-a_i(x_i(t)) \biggl( d_i(x_i(t))-\sum_{j=1}^n b_{ij} g_j(x_j(t)) -\sum_{j=1}^n c_{ij} \int_{-\infty^t} k_{ij}(t-s) g_j(x_j(s))\,ds\biggr), \\ x_i(t)=\varphi_i(t),\quad t\leq 0,\quad i=1,\dots,n ...
Huang, Tingwen, Li, Chuandong, Chen, Goong   +2 more
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Almost periodic attractor for Cohen–Grossberg neural networks with delay

Physics Letters A, 2009
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Chen, Zhang, Zhao, Donghua, Ruan, Jiong
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Local stability and attractive basin of Cohen–Grossberg neural networks

Nonlinear Analysis: Real World Applications, 2009
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Yang, Xiaofan, Liao, Xiaofeng, Li, Chuandong, Tang, Yuan Yan   +3 more
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Dynamical analysis of Cohen–Grossberg neural networks with distributed delays

Physics Letters A, 2007
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Mao, Zisen, Zhao, Hongyong
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