Impulsive-Interaction-Driven Synchronization in an Array of Coupled Neural Networks
Sign Up to like & getrecommendations! Published in 2020 at "Neural Processing Letters"
DOI: 10.1007/s11063-020-10214-x
Abstract: This paper deals with the problem of globally exponential synchronization and bipartite synchronization of coupled neural networks with impulsive interactions. Impulsive interaction means that a number of neural networks only communicate with each other at… read more here.
Keywords: networks impulsive; neural networks; impulsive interaction; coupled neural ... See more keywords
Generalized stability conditions for coupled neural networks with delay feedbacks
Sign Up to like & getrecommendations! Published in 2019 at "Heliyon"
DOI: 10.1016/j.heliyon.2019.e01643
Abstract: We present a generalization of the existing models of delayed neural networks (DNNs) with positive delay feedback. A generalized criterion for stability of the system of delay differential equations (DDEs), which governs the dynamics of… read more here.
Keywords: stability conditions; neural networks; conditions coupled; coupled neural ... See more keywords
Memristor-based circuit implementation of pulse-coupled neural network with dynamical threshold generators
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.01.024
Abstract: Abstract Pulse-coupled neural network (PCNN) is inspired from the visual cortex of cats. It is superior to the traditional algorithm in the field of digital image processing. Meanwhile, memristor is considered as an important circuit… read more here.
Keywords: neural network; pulse coupled; circuit; coupled neural ... See more keywords
Output Synchronization for Coupled Neural Networks With Multiple Delayed Output Couplings
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2022.3182702
Abstract: This brief discusses the output synchronization problem for coupled neural networks with multiple delayed output couplings (CNNMDOCs). On one hand, by utilizing adaptive state feedback controller and coupling weight adjustment strategy, an output synchronization criterion… read more here.
Keywords: output synchronization; neural networks; coupled neural; output ... See more keywords
Sampled-Data-Based H∞ Synchronization of Switched Coupled Neural Networks
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2019.2908187
Abstract: This paper investigates the sampled-data-based ${H_\infty }$ synchronization problem for a class of switched coupled neural networks subject to exogenous perturbations. Different from the existing results on the nonswitched and continuous-time control cases, the unmatched… read more here.
Keywords: sampled data; neural networks; coupled neural; synchronization ... See more keywords
Quasi-Synchronization of Fractional Multiweighted Coupled Neural Networks via Aperiodic Intermittent Control.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2023.3237248
Abstract: This article investigates the quasi-synchronization for fractional multiweighted coupled neural networks (FMCNNs) with discontinuous activation functions and mismatched parameters. First, under the generalized Caputo fractional-order derivative operator, a novel piecewise fractional differential inequality is established… read more here.
Keywords: synchronization fractional; coupled neural; multiweighted coupled; fractional multiweighted ... See more keywords
Matrix Measure-Based Event-Triggered Impulsive Quasi-Synchronization on Coupled Neural Networks.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3185586
Abstract: In this article, the quasi-synchronization for a kind of coupled neural networks with time-varying delays is investigated via a novel event-triggered impulsive control approach. In view of the randomly occurring uncertainties (ROUs) in the communication… read more here.
Keywords: event triggered; neural networks; coupled neural; quasi synchronization ... See more keywords
Finite-Time Passivity of Coupled Neural Networks with Multiple Weights
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Network Science and Engineering"
DOI: 10.1109/tnse.2017.2746759
Abstract: This paper respectively studies finite-time passivity of multi-weighted coupled neural networks (MWCNNs) with and without coupling delays. First, based on those existing passivity definitions, several new concepts about finite-time passivity are presented. By exploiting these… read more here.
Keywords: finite time; neural networks; time; coupled neural ... See more keywords
Medical Image Fusion Method Based on Coupled Neural P Systems in Nonsubsampled Shearlet Transform Domain
Sign Up to like & getrecommendations! Published in 2021 at "International journal of neural systems"
DOI: 10.1142/s0129065720500501
Abstract: Coupled neural P (CNP) systems are a recently developed Turing-universal, distributed and parallel computing model, combining the spiking and coupled mechanisms of neurons. This paper focuses on how to apply CNP systems to handle the… read more here.
Keywords: fusion; fusion method; coupled neural; image fusion ... See more keywords
A Visible and Passive Millimeter Wave Image Fusion Algorithm Based on Pulse-Coupled Neural Network in Tetrolet Domain for Early Risk Warning
Sign Up to like & getrecommendations! Published in 2018 at "Mathematical Problems in Engineering"
DOI: 10.1155/2018/4205308
Abstract: An algorithm based on pulse-coupled neural network (PCNN) constructed in the Tetrolet transform domain is proposed for the fusion of the visible and passive millimeter wave images in order to effectively identify concealed targets. The… read more here.
Keywords: tetrolet; based pulse; pulse coupled; algorithm based ... See more keywords
Construction of a Knowledge Map of Speech Emotion Features Based on Impulse-Coupled Neural Networks
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/8766145
Abstract: This paper constructs knowledge graphs of speech emotion feature to support the expression of rich semantic information due to their unique graphical structure and to provide new ideas for studying speech emotion recognition recommendations. Impulse-coupled… read more here.
Keywords: speech; coupled neural; knowledge; impulse coupled ... See more keywords