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Synchronization in Fractional-Order Complex-Valued Delayed Neural Networks [PDF]
Entropy, 2018 This paper discusses the synchronization of fractional order complex valued neural networks (FOCVNN) at the presence of time delay. Synchronization criterions are achieved through the employment of a linear feedback control and comparison theorem of ...
Weiwei Zhang +3 more
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Fractal and Fractional, 2022 In this paper, the synchronization of fractional-order uncertain delayed neural networks with an event-triggered communication scheme is investigated. By establishing a suitable Lyapunov–Krasovskii functional (LKF) and inequality techniques, sufficient ...
M. Hymavathi +5 more
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Quantized passive filtering for switched delayed neural networks
Nonlinear Analysis, 2021 The issue of quantized passive filtering for switched delayed neural networks with noise interference is studied in this paper. Both arbitrary and semi-Markov switching rules are taken into account.
Youmei Zhou +3 more
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Delay Differential Neural Networks [PDF]
2021 6th International Conference on Machine Learning Technologies, 2021 Neural ordinary differential equations (NODEs) treat computation of intermediate feature vectors as trajectories of ordinary differential equation parameterized by a neural network. In this paper, we propose a novel model, delay differential neural networks (DDNN), inspired by delay differential equations (DDEs).
Srinivas Anumasa, P. K. Srijith
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Nonlinear Analysis, 2022 In the present study, we deal with the stability and the onset of Hopf bifurcation of two type delayed BAM neural networks (integer-order case and fractional-order case).
Changjin Xu +7 more
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Heterogeneous delays in neural networks [PDF]
The European Physical Journal B, 2014 We investigate heterogeneous coupling delays in complex networks of excitable elements described by the FitzHugh-Nagumo model. The effects of discrete as well as of uni- and bimodal continuous distributions are studied with a focus on different topologies, i.e., regular, small-world, and random networks.
Cakan, Caglar +2 more
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Anti-periodic behavior for quaternion-valued delayed cellular neural networks
Advances in Difference Equations, 2021 In this manuscript, quaternion-valued delayed cellular neural networks are studied. Applying the continuation theorem of coincidence degree theory, inequality techniques and a Lyapunov function approach, a new sufficient condition that guarantees the ...
Zhenhua Duan, Changjin Xu
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IEEE Access, 2020 This paper mainly tends to investigate finite-time stability and stabilization of impulsive stochastic delayed neural networks with randomly occurring uncertainties (ROUs) and randomly occurring nonlinearities (RONs).
Tao Chen +3 more
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Stability Analysis of Two Kinds of Fractional-Order Neural Networks Based on Lyapunov Method
IEEE Access, 2021 At present, the theory and application of fractional-order neural networks remain in the exploratory stage. We study the asymptotic stability of fractional-order neural networks with Riemann-Liouville (R-L) derivatives.
Xin Chang +3 more
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Nantong Daxue xuebao. Ziran kexue ban, 2020 The paper studies the global exponential synchronization problem of the memristor-based fuzzy cellular neural networks. First, by utilizing the Filippov solution and the measurable selection theorems, the memristor-based fuzzy cellular neural network is ...
MU Xiaohui;TANG Rongqiang;YANG Xinsong
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