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- research-articleDecember 2023
Adaptive PI control for H ∞ synchronization of multiple delayed coupled neural networks
AbstractThis paper focuses on the discussion of H ∞ synchronization in multiple state and delayed state coupled neural networks through the implementation of two adaptive proportional–integral (PI) controllers. Firstly, we consider two types of coupled ...
- research-articleDecember 2023
Fixed/predefined-time synchronization of memristive neural networks based on state variable index coefficient
AbstractThis paper has investigated the fixed/predefined-time synchronization problem of delayed memristive neural networks(DNNs). Firstly, two novel controllers with state variable index coefficient are presented for achieving fixed-time synchronization ...
- research-articleSeptember 2023
Event-Based Global Exponential Synchronization for Quaternion-Valued Fuzzy Memristor Neural Networks With Time-Varying Delays
IEEE Transactions on Fuzzy Systems (TOFS), Volume 32, Issue 3Pages 989–999https://doi.org/10.1109/TFUZZ.2023.3317031As quaternion-valued memristor neural networks (MNNs) have important applications in many engineering fields and the information in the real world is often uncertain and inaccurate, therefore, in order to better apply to practice, it is necessary to study ...
- research-articleAugust 2023
Synchronization Control for T-S Fuzzy Neural Networks With Time Delay: A Novel Event-Triggered Mechanism
IEEE Transactions on Fuzzy Systems (TOFS), Volume 32, Issue 2Pages 586–594https://doi.org/10.1109/TFUZZ.2023.3303224A novel aperiodic event-triggered control is adopted to address the synchronization issue of T-S fuzzy neural networks with time delay. This control strategy refers to the execution of control tasks in a control system based on real-time events, rather ...
- research-articleJuly 2023
Further Research on the Problems of Synchronization for Fractional-Order BAM Neural Networks in Octonion-Valued Domain
Neural Processing Letters (NPLE), Volume 55, Issue 8Pages 11173–11208https://doi.org/10.1007/s11063-023-11371-5AbstractThe problem of the globally asymptotical synchronization is studied for the system of fractional-order delayed octonion-valued BAM neural networks (FODOVBAMNNs) and the problem of the global Mittag–Leffler synchronization is researched for the ...
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- research-articleJune 2023
Fixed/prescribed-time synchronization of BAM memristive neural networks with time-varying delays via convex analysis
AbstractThe synchronization problem of bidirectional associative memory memristive neural networks (BAMMNNs) with time-varying delays plays an essential role in the implementation and application of neural networks. Firstly, under the framework of the ...
- research-articleJanuary 2023
Multiple asymptotical ω-periodicity of fractional-order delayed neural networks under state-dependent switching
AbstractThis paper presents theoretical results on multiple asymptotical ω-periodicity of a state-dependent switching fractional-order neural network with time delays and sigmoidal activation functions. Firstly, by combining the geometrical ...
Highlights- Proposed a switched fractional-order neural network model.
- Proved the S-...
- research-articleNovember 2022
Comprehensive analysis of fixed-time stability and energy cost for delay neural networks
Neural Networks (NENE), Volume 155, Issue CPages 413–421https://doi.org/10.1016/j.neunet.2022.08.024AbstractThis paper focuses on comprehensive analysis of fixed-time stability and energy consumed by controller in nonlinear neural networks with time-varying delays. A sufficient condition is provided to assure fixed-time stability by ...
- research-articleNovember 2022
An efficient multitask neural network for face alignment, head pose estimation and face tracking
Expert Systems with Applications: An International Journal (EXWA), Volume 205, Issue Chttps://doi.org/10.1016/j.eswa.2022.117368AbstractWhile Convolutional Neural Networks (CNNs) have significantly boosted the performance of face related algorithms, maintaining accuracy and efficiency simultaneously in practical use remains challenging. The state-of-the-art methods employ deeper ...
Highlights- Employ the structural information at shallow layer for efficient face alignment.
- Generate a heatmap to provide the geometric and attention information for network.
- Propose an efficient multitask framework for video-based ...
- research-articleOctober 2022
Extended analysis on the global Mittag-Leffler synchronization problem for fractional-order octonion-valued BAM neural networks
Neural Networks (NENE), Volume 154, Issue CPages 491–507https://doi.org/10.1016/j.neunet.2022.07.031AbstractIn this paper, a new case of neural networks called fractional-order octonion-valued bidirectional associative memory neural networks (FOOVBAMNNs) is established. First, the higher dimensional models are formulated for FOOVBAMNNs with ...
- research-articleSeptember 2022
Finite-time dissipative control for bidirectional associative memory neural networks with state-dependent switching and time-varying delays
AbstractThis paper focuses on finite-time exponential dissipative analysis and control problems for bidirectional associative memory neural networks (BAMNNs) with state-dependent switching and time-varying delays. Firstly, the state-dependent ...
- research-articleJuly 2022
Lag H ∞ synchronization of coupled neural networks with multiple state couplings and multiple delayed state couplings
Neural Networks (NENE), Volume 151, Issue CPages 143–155https://doi.org/10.1016/j.neunet.2022.03.032AbstractThis paper mainly focuses on the lag H ∞ synchronization problem of coupled neural networks with multiple state or delayed state couplings. On one hand, by exploiting state feedback controller and Lyapunov functional, a criterion of ...
- research-articleApril 2022
Trade off analysis between fixed-time stabilization and energy consumption of nonlinear neural networks
AbstractThis paper concentrates on trade off analysis between fixed-time stabilization and energy consumption for a type of nonlinear neural networks (NNs). By constructing a compound switching controller and utilizing inequality techniques, a ...
- research-articleJanuary 2022
Lag projective synchronization of nonidentical fractional delayed memristive neural networks
Neurocomputing (NEUROC), Volume 469, Issue CPages 138–150https://doi.org/10.1016/j.neucom.2021.10.061AbstractIn this paper, lag projective synchronization of nonidentical fractional delayed memristive neural networks (NFDMNN) is investigated. Due to the existence of memristor, the analysis is based on the theory of differential equations with ...
- research-articleNovember 2021
Mittag-Leffler synchronization and stability analysis for neural networks in the fractional-order multi-dimension field
AbstractThis paper proposes the relaxed criteria about the problem of synchronization and stability for the same category fractional-order system of multidimension-valued neural networks (FOSMVNNs). First, we uniformly formulate a new class of ...
- research-articleOctober 2021
Multistability and associative memory of neural networks with Morita-like activation functions
Neural Networks (NENE), Volume 142, Issue CPages 162–170https://doi.org/10.1016/j.neunet.2021.04.035AbstractThis paper presents the multistability analysis and associative memory of neural networks (NNs) with Morita-like activation functions. In order to seek larger memory capacity, this paper proposes Morita-like activation functions. In a ...
- research-articleSeptember 2021
Finite-time stability of coupled impulsive neural networks with time-varying delays and saturating actuators
Neurocomputing (NEUROC), Volume 453, Issue CPages 590–598https://doi.org/10.1016/j.neucom.2020.09.019AbstractThe paper considers the stability of coupled impulsive neural networks with time-varying delays and saturating actuators in finite time. Based on a delayed state feedback controller, the stability of coupled impulsive neural networks ...
- research-articleFebruary 2021
Mean Square Stabilization of Neural Networks with Weighted Try once Discard Protocol and State Observer
Neural Processing Letters (NPLE), Volume 53, Issue 1Pages 829–842https://doi.org/10.1007/s11063-020-10409-2AbstractThis paper investigates mean square stabilization problem of neural networks with weighted try once discard protocol and state observer. In general, sensor nodes access conflict happens frequently in the communication transmission networks. Aiming ...
- research-articleDecember 2020
Global Stabilization of Memristive Neural Networks with Leakage and Time-Varying Delays Via Quantized Sliding-Mode Controller
Neural Processing Letters (NPLE), Volume 52, Issue 3Pages 2451–2468https://doi.org/10.1007/s11063-020-10356-yAbstractThis pape investigates the global stabilization of memristive neural networks (MNNs) with leakage and time-varying delays via quantized sliding-mode controller. The leakage delay is considered in the MNNs. Sliding mode controller is imported to ...
- research-articleSeptember 2020
Designing pulse-coupled neural networks with spike-synchronization-dependent plasticity rule: image segmentation and memristor circuit application
Neural Computing and Applications (NCAA), Volume 32, Issue 17Pages 13441–13452https://doi.org/10.1007/s00521-020-04752-7AbstractPulse-coupled neural network (PCNN) is a powerful unsupervised learning model with many parameters to be determined empirically. In particular, the weight matrix is invariable in the iterative process, which is inconsistent with the actual ...