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[PDF] Top 20 Exponential convergence of Cohen Grossberg neural networks with continuously distributed leakage delays

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Exponential convergence of Cohen Grossberg neural networks with continuously distributed leakage delays

Exponential convergence of Cohen Grossberg neural networks with continuously distributed leakage delays

... that Cohen-Grossberg neural networks (CGNNs) have been successfully applied in many fields such as pattern recognition, parallel computing, associative mem- ory, and combinatorial optimization ... See full document

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Impacts of state dependent impulses on the stability of switching Cohen Grossberg neural networks

Impacts of state dependent impulses on the stability of switching Cohen Grossberg neural networks

... negative, which implies that switching subsystems might be stable or unstable; however, the impulse of each subsystem has to be stable. One can easily observe that conditions (i) and (ii) of Corollary  are both stricter ... See full document

21

Existence and stability of periodic solutions for impulsive fuzzy BAM Cohen Grossberg neural networks on time scales

Existence and stability of periodic solutions for impulsive fuzzy BAM Cohen Grossberg neural networks on time scales

... years, Cohen and Grossberg BAM neural networks have been extensively stud- ied and applied in many different fields such as associative memory, signal processing, and some optimization ...the ... See full document

21

New proof on exponential convergence for cellular neural networks with time-varying delays

New proof on exponential convergence for cellular neural networks with time-varying delays

... cellular neural networks have attracted broad attention in numer- ous scientific fields due to their potential application prospect in psychophysics, speech, perception, robotics, pattern recognition, signal ... See full document

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Periodic Solutions of Cohen Grossberg Type BAM Neural Networks with Time Varying Delays

Periodic Solutions of Cohen Grossberg Type BAM Neural Networks with Time Varying Delays

... Exponential Stability of Periodic Solution to BAM Neural Networks with Periodic Coefficient and Continuously Distributed Delays,” Physics Letters A, Vol. 343, No. 5, 2005, pp. ... See full document

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Dynamic Analysis of Stochastic Reaction Diffusion Cohen Grossberg Neural Networks with Delays

Dynamic Analysis of Stochastic Reaction Diffusion Cohen Grossberg Neural Networks with Delays

... on convergence dynamics of reaction-di ff usion Cohen-Grossberg neural networks CGNNs with delays are ...semimartingale convergence theorem, some sufficient conditions ... See full document

18

Estimate of Multiple Attracing Domains for Cohen Grossberg Neural Network with Distributed Delays

Estimate of Multiple Attracing Domains for Cohen Grossberg Neural Network with Distributed Delays

...  is a positive constant. In this paper, we not only de rive new criteria for the existence of 2 N equi- librium points of CGNN (1.1) but also estimate at acting domains for these equilibrium points. When we relax our ... See full document

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Global Exponential Stability of Delayed Cohen Grossberg BAM Neural Networks with Impulses on Time Scales

Global Exponential Stability of Delayed Cohen Grossberg BAM Neural Networks with Impulses on Time Scales

... global exponential stability of the equilibrium point of Cohen-Grossberg bidirectional associative memory BAM neural networks with distributed delays and impulses on time ... See full document

17

Existence and exponential stability of pseudo almost automorphic solutions for Cohen Grossberg neural networks with mixed delays

Existence and exponential stability of pseudo almost automorphic solutions for Cohen Grossberg neural networks with mixed delays

... Remark . In [], sufficient conditions were obtained to ensure the existence and sta- bility of an almost automorphic solution to recurrent neural networks () by using the Lebesgue dominated ... See full document

17

Exponential synchronization of Cohen-Grossberg neural networks with stochastic perturbation and reaction-diffusion terms via periodically intermittent control

Exponential synchronization of Cohen-Grossberg neural networks with stochastic perturbation and reaction-diffusion terms via periodically intermittent control

... Cohen-Grossberg neural network [1] proposed in 1983 is a typical neural network ...Hopfield neural networks and cellular neural networks are special cases of this ... See full document

28

Exponential stability criteria for fuzzy bidirectional associative memory Cohen Grossberg neural networks with mixed delays and impulses

Exponential stability criteria for fuzzy bidirectional associative memory Cohen Grossberg neural networks with mixed delays and impulses

... (BAM) Cohen-Grossberg neural networks [] due to their potential applications in var- ious fields such as neural biology, pattern recognition, classification of patterns, parallel ... See full document

16

Integro differential inequality and stability of BAM FCNNs with time delays in the leakage terms and distributed delays

Integro differential inequality and stability of BAM FCNNs with time delays in the leakage terms and distributed delays

... cellular neural networks (FCNNs) with time delays in the leakage terms and distributed delays is formulated and ...global exponential stability of equilibrium point for ... See full document

18

Exponential stability for fuzzy BAM cellular neural networks with distributed leakage delays and impulses

Exponential stability for fuzzy BAM cellular neural networks with distributed leakage delays and impulses

... (BAM) neural networks due to their potential application prospect in many dis- ciplines such as pattern recognition, automatic control engineering, optimization prob- lems, image processing, speed detection ... See full document

14

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

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

... recurrent neural networks (RNNs) largely studied by many researchers in recent ...of neural networks such as bidirectional associative memory (BAM) neural networks, Hopfield ... See full document

31

Global exponential synchronization of delayed BAM neural networks with reaction-diffusion terms and the Neumann boundary conditions

Global exponential synchronization of delayed BAM neural networks with reaction-diffusion terms and the Neumann boundary conditions

... chaotic neural network (NN) models to simulate the chaotic behavior of biological ...with delays has raised considerable interest in recent years, see for example [6-12] and the references cited ... See full document

14

Stability Analysis for Uncertain Stochastic Delayed Neural Networks of Neutral-Type with Discrete and Distributed Delays

Stability Analysis for Uncertain Stochastic Delayed Neural Networks of Neutral-Type with Discrete and Distributed Delays

... Guoquan Liu was born in 1982. He received the B.Sc. degree in electronic information engineering from Zhengzhou University, Zhengzhou, China, in 2005, and his M.Sc. degree in pattern recognition and intelligent system ... See full document

9

Synchronization analysis for stochastic reaction diffusion Cohen Grossberg neural networks with Neumann boundary conditions via periodically intermittent control

Synchronization analysis for stochastic reaction diffusion Cohen Grossberg neural networks with Neumann boundary conditions via periodically intermittent control

... the exponential synchronization criteria relying on dif- fusion coefficients and diffusion space are derived for the proposed Cohen-Grossberg neu- ral networks with Neumann boundary conditions ... See full document

20

Existence and globally exponential stability of equilibrium for fuzzy BAM neural networks with distributed delays and impulse

Existence and globally exponential stability of equilibrium for fuzzy BAM neural networks with distributed delays and impulse

... The main purpose of this article is, employing fixed point theorem and differential inequality techniques, to give some sufficient conditions for the existence, uniqueness, and global exponential stability of ... See full document

12

Pseudo almost periodic solutions for shunting inhibitory cellular neural networks with continuously distributed delays

Pseudo almost periodic solutions for shunting inhibitory cellular neural networks with continuously distributed delays

... In this paper, SICNNs with continuously distributed delays and pap coefficients and input signals have been studied. We have obtained some sufficient conditions for the existence and globally ... See full document

12

Matrix Measure Strategies for Stability of Cellular Neural Networks with Proportional Delays

Matrix Measure Strategies for Stability of Cellular Neural Networks with Proportional Delays

... cellular neural networks with time delay in the leakage term, discrete and unbounded distributed delays,” Math- ematical and Computer Modelling, ...with leakage delays and ... See full document

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