Results 11 to 20 of about 1,813,184 (347)
Finite-Time Stabilization and Adaptive Control of Memristor-Based Delayed Neural Networks
IEEE Transactions on Neural Networks and Learning Systems, 2017 Finite-time stability problem has been a hot topic in control and system engineering. This paper deals with the finite-time stabilization issue of memristor-based delayed neural networks (MDNNs) via two control approaches.
Yi Shen, Guodong Zhang
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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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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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An Efficient Threshold-Driven Aggregate-Label Learning Algorithm for Multimodal Information Processing [PDF]
, 2020 The aggregate-label learning paradigm tackles the long-standing temporary credit assignment (TCA) problem in neuroscience and machine learning, enabling spiking neural networks to learn multimodal sensory clues with delayed feedback signals. However, the
Belatreche, Ammar +7 more
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IEEE Access, 2023 This paper mainly focuses on the equilibrium problem of predefined-time stability and control energy consumption in nonlinear neural networks with time-varying delays.
Yuchun Wang, Li Wang
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Failure of Delayed Feedback Deep Brain Stimulation for Intermittent Pathological Synchronization in Parkinson's Disease [PDF]
, 2013 Suppression of excessively synchronous beta-band oscillatory activity in the brain is believed to suppress hypokinetic motor symptoms of Parkinson's disease.
Dovzhenok, Andrey +3 more
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IEEE Transactions on Neural Networks and Learning Systems, 2020 This brief is concerned with the stability of a neural network with a time-varying delay using the quadratic function negative-definiteness approach reported recently.
Jun Chen +3 more
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Mathematics, 2023 As an essential dynamic behavior, the synchronization of inertial Cohen–Grossberg neural networks (ICGNNs) has received considerable attention due to its successful applications in neural cryptography, public channel cryptography, security communications,
Fengjiao Zhang, Yinfang Song, Chao Wang
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