An overview of the stability analysis of recurrent neural networks with multiple equilibria
The stability analysis of recurrent neural networks (RNNs) with multiple equilibria has
received extensive interest since it is a prerequisite for successful applications of RNNs …
received extensive interest since it is a prerequisite for successful applications of RNNs …
Coexistence and local stability of multiple equilibrium points for fractional-order state-dependent switched competitive neural networks with time-varying delays
Z Wu, X Nie, B Cao - Neural Networks, 2023 - Elsevier
This paper investigates the coexistence and local stability of multiple equilibrium points for a
class of competitive neural networks with sigmoidal activation functions and time-varying …
class of competitive neural networks with sigmoidal activation functions and time-varying …
Exact coexistence and locally asymptotic stability of multiple equilibria for fractional-order delayed Hopfield neural networks with Gaussian activation function
X Nie, P Liu, J Liang, J Cao - Neural Networks, 2021 - Elsevier
This paper explores the multistability issue for fractional-order Hopfield neural networks with
Gaussian activation function and multiple time delays. First, several sufficient criteria are …
Gaussian activation function and multiple time delays. First, several sufficient criteria are …
Mittag-Leffler stability and application of delayed fractional-order competitive neural networks
In the article, the Mittag-Leffler stability and application of delayed fractional-order
competitive neural networks (FOCNNs) are developed. By virtue of the operator pair, the …
competitive neural networks (FOCNNs) are developed. By virtue of the operator pair, the …
Exponential multistability of memristive Cohen-Grossberg neural networks with stochastic parameter perturbations
Due to instability being induced easily by parameter disturbances of network systems, this
paper investigates the multistability of memristive Cohen-Grossberg neural networks …
paper investigates the multistability of memristive Cohen-Grossberg neural networks …
Multistability of almost periodic solution for Clifford-valued Cohen–Grossberg neural networks with mixed time delays
Y Zhang, Y Qiao, L Duan, J Miao - Chaos, Solitons & Fractals, 2023 - Elsevier
In this paper, the multistability of almost periodic solution of Clifford-valued Cohen–
Grossberg neural networks (CGNNs) with time-varying delays is investigated. Firstly, the …
Grossberg neural networks (CGNNs) with time-varying delays is investigated. Firstly, the …
Recurrent neural dynamics models for perturbed nonstationary quadratic programs: A control-theoretical perspective
Recent decades have witnessed a trend that control-theoretical techniques are widely
leveraged in various areas, eg, design and analysis of computational models …
leveraged in various areas, eg, design and analysis of computational models …
Stability criteria for memristor-based delayed fractional-order Cohen–Grossberg neural networks with uncertainties
RV Aravind, P Balasubramaniam - Journal of Computational and Applied …, 2023 - Elsevier
This paper investigates the Mittag-Leffler (ML) stability analysis problem of memristor-based
fractional-order Cohen–Grossberg neural networks (MFCGNNs) with time delays and …
fractional-order Cohen–Grossberg neural networks (MFCGNNs) with time delays and …
Multiple Mittag–Leffler stability of almost periodic solutions for fractional-order delayed neural networks: Distributed optimization approach
This article proposes new theoretical results on the multiple Mittag–Leffler stability of almost
periodic solutions (APOs) for fractional-order delayed neural networks (FDNNs) with …
periodic solutions (APOs) for fractional-order delayed neural networks (FDNNs) with …
Generalized-type multistability of almost periodic solutions for memristive Cohen–Grossberg neural networks
S Zhu, Y Shen, C Mu, X Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article investigates a generalized type of multistability about almost periodic solutions
for memristive Cohen–Grossberg neural networks (MCGNNs). As the inevitable …
for memristive Cohen–Grossberg neural networks (MCGNNs). As the inevitable …