Impulsive effects on stability and passivity analysis of memristor-based fractional-order competitive neural networks
This paper analyzes the stability and passivity problems for a class of memristor-based
fractional-order competitive neural networks (MBFOCNNs) by using Caputo's fractional …
fractional-order competitive neural networks (MBFOCNNs) by using Caputo's fractional …
Exponential synchronization of memristor-based competitive neural networks with reaction-diffusions and infinite distributed delays
L Wang, CK Zhang - IEEE Transactions on Neural Networks …, 2022 - ieeexplore.ieee.org
Taking into account the infinite distributed delays and reaction-diffusions, this article
investigates the global exponential synchronization problem of a class of memristor-based …
investigates the global exponential synchronization problem of a class of memristor-based …
New criterion for finite-time synchronization of fractional order memristor-based neural networks with time delay
F Du, JG Lu - Applied Mathematics and Computation, 2021 - Elsevier
A new fractional order Gronwall inequality with time delay is developed in this paper. Based
on this inequality, a new criterion for finite-time synchronization of fractional order memristor …
on this inequality, a new criterion for finite-time synchronization of fractional order memristor …
Mittag–Leffler synchronization of delayed fractional memristor neural networks via adaptive control
This brief is devoted to exploring the global Mittag-Leffler (ML) synchronization problem of
fractional-order memristor neural networks (FOMNNs) with leakage delay via a hybrid …
fractional-order memristor neural networks (FOMNNs) with leakage delay via a hybrid …
Transfer learning-based convolutional neural networks with heuristic optimization for hand gesture recognition
Human action recognition (HAR) has a considerable place in scientific studies. Additionally,
hand gesture recognition, which is a subcategory of HAR, plays an important role in …
hand gesture recognition, which is a subcategory of HAR, plays an important role in …
Finite-time synchronization of TS fuzzy memristive neural networks with time delay
This paper focuses on the study of synchronization problem for TS fuzzy memristive neural
networks with time delay. First, a delay-independent nonlinear fuzzy control is designed …
networks with time delay. First, a delay-independent nonlinear fuzzy control is designed …
Stability analysis of recurrent neural networks with time-varying delay based on a flexible negative-determination quadratic function method
G Tan, Z Wang - IEEE Transactions on Neural Networks and …, 2023 - ieeexplore.ieee.org
This brief investigates the stability problem of recurrent neural networks (RNNs) with time-
varying delay. First, by introducing some flexibility factors, a flexible negative-determination …
varying delay. First, by introducing some flexibility factors, a flexible negative-determination …
Global asymptotic stability of fractional-order competitive neural networks with multiple time-varying-delay links
Y Xu, J Yu, W Li, J Feng - Applied Mathematics and Computation, 2021 - Elsevier
Competitive neural networks have become increasingly popular since this kind of neural
networks can better describe the dynamics of cortical cognitive maps with unsupervised …
networks can better describe the dynamics of cortical cognitive maps with unsupervised …
Multistability of delayed fractional-order competitive neural networks
This paper is concerned with the multistability of fractional-order competitive neural networks
(FCNNs) with time-varying delays. Based on the division of state space, the equilibrium …
(FCNNs) with time-varying delays. Based on the division of state space, the equilibrium …
Finite-time synchronization of fractional-order gene regulatory networks with time delay
Y Qiao, H Yan, L Duan, J Miao - Neural Networks, 2020 - Elsevier
As multi-gene networks transmit signals and products by synchronous cooperation,
investigating the synchronization of gene regulatory networks may help us to explore the …
investigating the synchronization of gene regulatory networks may help us to explore the …