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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…
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Keywords:
fuzzy cellular;
stability;
neural networks;
convex approach ... See more keywords
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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…
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Keywords:
delayed cellular;
discrete delayed;
guaranteed cost;
anti windup ... See more keywords
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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…
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Keywords:
networks time;
stability;
neural networks;
time varying ... See more keywords
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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…
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Keywords:
neural networks;
class;
networks proportional;
delay ... See more keywords
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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…
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Keywords:
fuzzy cellular;
type fuzzy;
neural networks;
neutral type ... See more keywords
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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…
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Keywords:
neural networks;
networks proportional;
delay;
global asymptotic ... See more keywords
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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…
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Keywords:
neural networks;
almost periodic;
high order;
pseudo almost ... See more keywords
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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…
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Keywords:
neural networks;
regions children;
children autism;
brain regions ... See more keywords
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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…
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Keywords:
mixed delays;
fuzzy cellular;
type fuzzy;
neural networks ... See more keywords
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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…
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Keywords:
neural network;
stochastic disturbances;
cellular neural;
robustness analysis ... See more keywords
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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…
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Keywords:
memristor based;
multistability;
based cellular;
neural network ... See more keywords