has been cited by the following article(s):
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[1]
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A Global Stability Analysis of Fractional‐Order Memristor Fuzzy Bam Neural Networks With Time‐Variable Delays and Leakage Term
Discrete Dynamics in Nature and Society,
2026
DOI:10.1155/ddns/1112314
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[2]
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Stochastic fractional-order memristive fuzzy bam neural networks with time delays and leakage term for finite-time stability analysis
Scientific Reports,
2026
DOI:10.1038/s41598-026-48581-5
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[3]
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The boundedness, global Mittag-Leffler sability and S-asymptotic ω-periodic of fractional-order fuzzy inertial neural networks with delays
Journal of Computational Methods in Sciences and Engineering,
2022
DOI:10.3233/JCM-226512
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[4]
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Finite-time stability analysis of fractional-order memristive fuzzy cellular neural networks with time delay and leakage term
Mathematics and Computers in Simulation,
2021
DOI:10.1016/j.matcom.2020.12.035
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[5]
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Global Mittag-Leffler stability analysis of impulsive fractional-order complex-valued BAM neural networks with time varying delays
Communications in Nonlinear Science and Numerical Simulation,
2020
DOI:10.1016/j.cnsns.2019.105088
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[6]
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Dynamic stability analysis of stochastic fractional-order memristor fuzzy BAM neural networks with delay and leakage terms
Applied Mathematics and Computation,
2020
DOI:10.1016/j.amc.2019.124896
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[7]
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Global stability analysis of fractional-order fuzzy BAM neural networks with time delay and impulsive effects
Communications in Nonlinear Science and Numerical Simulation,
2019
DOI:10.1016/j.cnsns.2019.104853
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