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Fractional-order stochastic delayed neural networks with impulses: mean square finite-time contractive synchronization. [PDF]
Sci RepThis article presents a novel framework for mean square finite-time synchronization (MSFTSn) and mean square finite-time contractive synchronization (MSFTCSn) of fractional-order stochastic delayed neural networks (FOSDNNs) subject to hybrid control. The
Palanisamy G +3 more
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Mathematics, 2023 This paper addresses the synchronization problem of delayed stochastic neural networks with discontinuous activation functions (DSNNsDF), specifically focusing on fixed/preassigned-time synchronization.
Haoyu Li, Leimin Wang, Wenwen Shen
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Shenzhen Daxue xuebao. Ligong ban, 2022 Aiming at the problem of fixed and preassigned-time synchronization of drive-response networks with discontinuous activation function, we derive a fixed-time stability theorem with more accurate stable time estimation for discontinuous systems by ...
LI Xingrui +5 more
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Fixed-time synchronization of quaternion-valued BAM neural networks
Nantong Daxue xuebao. Ziran kexue ban, 2023 The bidirectional associative memory(BAM) neural networks is extended to the quaternion domain and a new type of quaternion-valued bidirectional associative memory neural networks(QVBAMNNs) is proposed.
SHI Yuchen; WEI Ruoyu
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Advances in Difference Equations, 2021 This paper investigates a class of generalized Cohen–Grossberg neural networks (CGNNs) with discontinuous activations and mixed delays. Based on the nonsmooth analysis theory, the drive-response concept, differential inclusions theory, we give several ...
Zhaohong Xiang, Runjie Li
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Advances in Difference Equations, 2009 This paper considers a new class of additive neural networks where the neuron activations are modelled by discontinuous functions with nonlinear growth.
Wu Huaiqin, Li Yingwei
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Mathematics, 2023 This article is concerned with fixed-time synchronization and preassigned-time synchronization of Cohen–Grossberg quaternion-valued neural networks with discontinuous activation functions and generalized time-varying delays.
Shichao Jia, Cheng Hu, Haijun Jiang
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Synchronization Problems of Fuzzy Competitive Neural Networks
Advances in Mathematical Physics, 2022 This paper is devoted to investigating the fixed-time and finite-time synchronization for fuzzy competitive neural networks with discontinuous activation functions.
Lingping Zhang, Feng Duan, Bo Du
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Mathematics, 2022 In this paper, we study the stability of solutions to systems of differential equations with discontinuous right-hand sides. We have investigated nonlinear and linear equations.
Ilya Boykov +2 more
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IEEE Access, 2019 The coexistence of multiple stable equilibria in recurrent neural networks is an important dynamic characteristic for associative memory and other applications.
Yujiao Huang +4 more
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