Articles with "cellular neural" as a keyword



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Third-order reciprocally convex approach to stability of fuzzy cellular neural networks under impulsive perturbations

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Published in 2017 at "Soft Computing"

DOI: 10.1007/s00500-016-2051-z

Abstract: The stability is investigated for a kind of fuzzy cellular neural networks with time-varying and continuously distributed delays under impulsive perturbations. When the Wirtinger-based integral inequality is applied to partitioned integral terms in the derivation… read more here.

Keywords: fuzzy cellular; stability; neural networks; convex approach ... See more keywords
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Guaranteed Cost Anti-windup Stabilization of Discrete Delayed Cellular Neural Networks

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Published in 2017 at "Neural Processing Letters"

DOI: 10.1007/s11063-017-9583-9

Abstract: This paper studies the problem of guaranteed cost anti-windup stabilization of discrete delayed cellular neural networks. Saturation degree function is initially presented and the convex hull theory is applied to handle the saturated terms of… read more here.

Keywords: delayed cellular; discrete delayed; guaranteed cost; anti windup ... See more keywords
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Further Improvement on Delay-Dependent Global Robust Exponential Stability for Delayed Cellular Neural Networks with Time-Varying Delays

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Published in 2017 at "Neural Processing Letters"

DOI: 10.1007/s11063-017-9683-6

Abstract: This paper is concerned with global robust exponential stability for a class of delayed cellular neural networks with time-varying delays. Some new sufficient conditions are presented for the uniqueness of equilibrium point and the global… read more here.

Keywords: networks time; stability; neural networks; time varying ... See more keywords
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Impulsive Control for a Class of Cellular Neural Networks with Proportional Delay

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Published in 2017 at "Neural Processing Letters"

DOI: 10.1007/s11063-017-9776-2

Abstract: This paper is concerned with a class of cellular neural networks with proportional delay and impulses. First, by employing the improved Razumikhin technique and Lyapunov functions, some delay-dependent criteria are established to guarantee asymptotic stability… read more here.

Keywords: neural networks; class; networks proportional; delay ... See more keywords
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Convergence of Neutral Type Fuzzy Cellular Neural Networks with D Operator

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Published in 2018 at "Neural Processing Letters"

DOI: 10.1007/s11063-018-9864-y

Abstract: A model of neutral type fuzzy cellular neural networks with D operator is proposed. Applying differential inequality techniques, several sufficient conditions are derived to ensure the global exponential convergence of solutions for the proposed neural… read more here.

Keywords: fuzzy cellular; type fuzzy; neural networks; neutral type ... See more keywords
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Global Asymptotic Stabilization of Cellular Neural Networks with Proportional Delay via Impulsive Control

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Published in 2019 at "Neural Processing Letters"

DOI: 10.1007/s11063-019-09980-0

Abstract: This paper considers the global asymptotic stabilization of a class of cellular neural networks with proportional delay via impulsive control. First, from impulsive control point of view, some delay-dependent criteria are established to guarantee the… read more here.

Keywords: neural networks; networks proportional; delay; global asymptotic ... See more keywords
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Pseudo almost periodic high-order cellular neural networks with complex deviating arguments

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Published in 2019 at "International Journal of Machine Learning and Cybernetics"

DOI: 10.1007/s13042-017-0715-3

Abstract: In this paper, we propose and study the pseudo almost periodic high-order cellular neural networks with oscillating leakage coefficients and complex deviating arguments, which has not been studied in the existing literature. Applying the contraction… read more here.

Keywords: neural networks; almost periodic; high order; pseudo almost ... See more keywords
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Modeling the connections of brain regions in children with autism using cellular neural networks and electroencephalography analysis

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Published in 2018 at "Artificial intelligence in medicine"

DOI: 10.1016/j.artmed.2018.05.003

Abstract: The brain connections in the different regions demonstrate the characteristics of brain activities. In addition, in various conditions and with neuropsychological disorders, the brain has special patterns in different regions. This paper presents a model… read more here.

Keywords: neural networks; regions children; children autism; brain regions ... See more keywords
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Weighted pseudo almost automorphic solutions for neutral type fuzzy cellular neural networks with mixed delays and D operator in Clifford algebra

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Published in 2020 at "International Journal of Systems Science"

DOI: 10.1080/00207721.2020.1777345

Abstract: The main aim of this work is to study a class of neutral type Fuzzy Cellular Neural Networks (FCNNs) with mixed delays and D operator. New criteria are established for the existence, uniqueness and global… read more here.

Keywords: mixed delays; fuzzy cellular; type fuzzy; neural networks ... See more keywords
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Robustness Analysis of Fuzzy Cellular Neural Network With Deviating Argument and Stochastic Disturbances

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Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2023.3233946

Abstract: Robustness analysis of fuzzy cellular neural networks with deviating arguments and stochastic disturbances is the main topic of discussion in this paper. The issue at hand is what the upper bounds of the disturbances and… read more here.

Keywords: neural network; stochastic disturbances; cellular neural; robustness analysis ... See more keywords
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Hidden Multistability in a Memristor-Based Cellular Neural Network

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Published in 2020 at "Advances in Mathematical Physics"

DOI: 10.1155/2020/9708649

Abstract: In this paper, we report a novel memristor-based cellular neural network (CNN) without equilibrium points. Dynamical behaviors of the memristor-based CNN are investigated by simulation analysis. The results indicate that the system owns complicated nonlinear… read more here.

Keywords: memristor based; multistability; based cellular; neural network ... See more keywords