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Almost Periodic Dynamics for Memristor-Based Shunting Inhibitory Cellular Neural Networks with Leakage Delays
2016
Computational Intelligence and Neuroscience
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Moreover, the theoretical findings of this paper on the almost periodic solution are applied to prove the existence and stability of periodic solution for memristor-based shunting inhibitory cellular neural ...
We investigate a class of memristor-based shunting inhibitory cellular neural networks with leakage delays. ...
Acknowledgments This work is supported by the Key Research Institute of Philosophies and Social Sciences in Guangxi Universities. ...
doi:10.1155/2016/3587271
pmid:27840634
pmcid:PMC5090130
fatcat:kjdt74hjcjhvvbaihbm6aac2xu
Exponential stability for fuzzy BAM cellular neural networks with distributed leakage delays and impulses
2016
Advances in Difference Equations
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This paper is concerned with a class of fuzzy BAM cellular neural networks with distributed leakage delays and impulses. ...
By applying differential inequality techniques, we establish some sufficient conditions which ensure the exponential stability of such fuzzy BAM cellular neural networks. ...
Acknowledgements The first author was supported by National Natural Science Foundation of China ...
doi:10.1186/s13662-016-0978-0
fatcat:qulxaihy3bfijfua6bnvvyzorq
Anti-Periodic Dynamics of Quaternion-Valued Fuzzy Cellular Neural Networks with Time-Varying Delays on Time Scales
2018
Discrete Dynamics in Nature and Society
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A class of quaternion-valued fuzzy cellular neural networks with time-varying delays on time scales is proposed. ...
Based on inequality analysis techniques on time scales, a fixed point theorem and the theory of calculus on time scales, the existence, and global exponential stability of anti-periodic solutions for this ...
However, to the best of our knowledge, the existence and global stability of anti-periodic solutions of quaternion-valued fuzzy cellular neural networks (QVFCNNs) on time scales have not been considered ...
doi:10.1155/2018/5290786
fatcat:5dxpcfkqsrewrin2ut7bi7xbxq
Stability and Existence of Anti-periodic Solution for FCNNs with Time-varying Delays and Impulsive Impacts
2019
IEEE Access
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This paper deals with the problem of anti-periodic solution for fuzzy cellular neural networks (FCNNs) with time-varying delays and impulsive impacts. ...
INDEX TERMS Exponential stability, anti-periodic solution, fuzzy cellular neural networks, time-varying delays, impulsive impacts. ...
ACKNOWLEDGMENT The authors would like to thank the Editor and the anonymous referees for their helpful comments and valuable suggestions regarding this paper. ...
doi:10.1109/access.2019.2893482
fatcat:weasxiql7ras5nizyc7wuhixim
Existence and exponential stability of an equilibrium point for fuzzy BAM neural networks with time-varying delays in leakage terms on time scales
2013
Advances in Difference Equations
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associative memory neural networks with time-varying delays in leakage terms on time scales. ...
In this paper, by using a fixed point theorem and differential inequality techniques, we consider the existence and global exponential stability of an equilibrium point for a class of fuzzy bidirectional ...
There are lots of results on the existence and stability of an equilibrium point, periodic solutions or almost periodic solutions of BAM neural networks [-]. ...
doi:10.1186/1687-1847-2013-218
fatcat:36azp2nkqnhevcovfhcpetpxze
Global Asymptotic Almost Periodic Synchronization of Clifford-Valued CNNs with Discrete Delays
2019
Complexity
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Second, based on the Banach fixed point theorem, we establish the existence and uniqueness of almost periodic solutions of the considered neural networks. ...
In this paper, we are concerned with Clifford-valued cellular neural networks (CNNs) with discrete delays. ...
Acknowledgments This work is supported by the National Natural Sciences Foundation of China under Grant No. 11861072. ...
doi:10.1155/2019/6982109
fatcat:n7gjxchdzfbybizh4krjuf6qla
Existence and Exponential Stability of Equilibrium Point for Fuzzy BAM Neural Networks with Infinitely Distributed Delays and Impulses on Time Scales
2014
Journal of Applied Mathematics
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of fuzzy BAM neural networks with infinitely distributed delays and impulses on time scales. ...
Our example also shows that the described time and continuous neural time networks have the same dynamic behaviours for the stability. ...
Conflict of Interests The authors declare that there is no conflict of interests regarding the publication of this paper. ...
doi:10.1155/2014/721586
fatcat:4sl4ejprmbhx3kh4welojzigkm
An Introduction to ANFIS Based Channel Equalizers for Mobile Cellular Channels
[chapter]
2011
Adaptive Filtering Applications
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The mobile cellular channel can be modeled as one of the following: The Free Space model. Tapped Delay Line (TDL) Channel model. Rayleigh Fading Channel model. Ricean Fading Channel model. The ...
The receiver must include an equalizer to mitigate the effects of ISI. The function of the equalizer is to combat the ISI and to utilize the available spectrum most efficiently. ...
Fuzzy logic is based on the way the brain deals with inexact information, while neural networks are modeled after the physical architecture of the brain. ...
doi:10.5772/16266
fatcat:wbsigpznczhhrjoamzgfcvxste
Asymptotic behavior of Clifford-valued dynamic systems with D-operator on time scales
2021
Advances in Difference Equations
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the existence, uniqueness, and exponential stability of the pseudo almost periodic (PAP) solution of the considered model. ...
In this paper, a general class of Clifford-valued neutral high-order neural network (HNN) with D-operator on time scales is investigated. ...
Acknowledgements We thank University of Carthage, Southeast University, and Shandong Normal University for providing financial support and facilities for this research. ...
doi:10.1186/s13662-021-03266-3
doaj:56f7d37d85a14a6abbd1e47f41ede9ca
fatcat:rvk6v6cjuvbwjju6b7q6whmjuy
Mean-square exponential stability of fuzzy stochastic BAM networks with hybrid delays
2018
Advances in Difference Equations
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We study fuzzy stochastic bidirectional associative memory cellular neural networks with discrete delays in leakage terms and with continuous and infinitely distributed delays in the transmission terms ...
The arguments in the paper can be readily adapted to study stability problems for other cellular neural networks. MSC: Primary 93E15; secondary 28E10; 34K20; 34K37; 34K50; 60H10 ...
Acknowledgements Fosheng is supported by the Initial Foundation of Mianyang Teachers' College (Grant No. QD2016A003). ...
doi:10.1186/s13662-018-1690-z
fatcat:t3ce6qb3wvgqzg6smscopr2d2a
Towards Massive Machine Type Communications in Ultra-Dense Cellular IoT Networks: Current Issues and Machine Learning-Assisted Solutions
2019
IEEE Communications Surveys and Tutorials
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of emerging Machine Learning (ML) techniques in ultra-dense cellular networks. ...
Along with the highlights on the inefficiency of the legacy Random Access (RA) procedure in the mMTC scenario, we then present the key features and channel access mechanisms in the emerging cellular IoT ...
The RA delay is one of the important aspects to be considered while designing RA techniques for mMTC in the existing cellular networks. ...
doi:10.1109/comst.2019.2916177
fatcat:vj7pau7mi5ch5ne6akgvrrtsla
Aspects of systems and circuits for nanoelectronics
1997
Proceedings of the IEEE
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In particular, linear threshold networks, the associative matrix, self-organizing feature maps, and cellular arrays are investigated from the viewpoint of their potential significance for nanoelectronics ...
This paper analyzes the effect of this technological progress on the design of nanoelectronic circuits and describes computational paradigms revealing novel features such as distributed storage, fault ...
The ways in which cellular neural networks or cellular automata are possible solutions is one topic of Section IV. ...
doi:10.1109/5.573741
fatcat:ck6njzh3fja27atr7vuqmsc6oe
Global exponential stability of Clifford-valued neural networks with time-varying delays and impulsive effects
2021
Advances in Difference Equations
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AbstractIn this study, we investigate the global exponential stability of Clifford-valued neural network (NN) models with impulsive effects and time-varying delays. ...
By taking impulsive effects into consideration, we firstly establish a Clifford-valued NN model with time-varying delays. ...
Funding The research is supported by the Rajamangala University of Technology Suvarnabhumi, Thailand. ...
doi:10.1186/s13662-021-03367-z
fatcat:2a4ouenesbf4dknhhyozfhbx6q
Soft computing technologies in nuclear engineering applications
1999
Progress in nuclear energy (New series)
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The synergistic benefits of combining the use of neural networks, fuzzy systems and genetic algorithms are illustrated in several application. ...
The application of soft computing technologies, particularly neural networks, fuzzy logic, and genetic algorithms, to the surveillance, diagnostics and operation of nuclear power plants and their components ...
It is based on the use of neural networks to generate fuzzy values. ...
doi:10.1016/s0149-1970(97)00109-1
fatcat:hzeircsdzjapnilj2f6vneingu
New Stability Criterion for Fractional-Order Quaternion-Valued Neural Networks Involving Discrete and Leakage Delays
2021
Journal of Mathematics
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In the current work, we are devoted to the issue of uniform stability of fractional-order quaternion-valued neural networks involving discrete and leakage delays. ...
Taking advantage of mathematical analysis strategy, a sufficient criterion involving delay to verify the global uniform stability for the considered fractional-order quaternion-valued neural networks is ...
Acknowledgments is work was supported by Natural Science Foundation of Guizhou Province (no. ZK2021019) and Guizhou University of Finance and Economics (nos. 2018YJ19 and 2018JGZZD04). ...
doi:10.1155/2021/9988073
fatcat:s3ilmjo5szbfdbolbnhlhmy75m
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