Stability analysis for neural networks with time-varying delay based on quadratic convex combination
In this paper, a novel method is developed for the stability problem of a class of neural
networks with time-varying delay. New delay-dependent stability criteria in terms of linear …
networks with time-varying delay. New delay-dependent stability criteria in terms of linear …
Existence and global exponential stability of pseudo almost periodic solution for neutral delay BAM neural networks with time-varying delay in leakage terms
In this paper, bidirectional associative memory (BAM) neural networks with time-varying
delays in leakage terms are investigated. A set of sufficient conditions are obtained for the …
delays in leakage terms are investigated. A set of sufficient conditions are obtained for the …
Selective positive–negative feedback produces the winner-take-all competition in recurrent neural networks
The winner-take-all (WTA) competition is widely observed in both inanimate and biological
media and society. Many mathematical models are proposed to describe the phenomena …
media and society. Many mathematical models are proposed to describe the phenomena …
Stability analysis of pseudo almost periodic solutions for octonion-valued recurrent neural networks with proportional delay
J Gao, L Dai, H Jiang - Chaos, Solitons & Fractals, 2023 - Elsevier
Considering the effect of the proportional delay, this paper deals with a class of octonion-
valued recurrent neural networks with proportional delay. We do not need to decompose the …
valued recurrent neural networks with proportional delay. We do not need to decompose the …
Pseudo almost automorphic solutions of recurrent neural networks with time-varying coefficients and mixed delays
In this paper, existence, uniqueness and global exponential stability of pseudo almost
automorphic solutions for a class of recurrent neural networks with time-varying coefficients …
automorphic solutions for a class of recurrent neural networks with time-varying coefficients …
Stability of Hopfield neural network with resistive and magnetic coupling
F Wu, T Kang, Y Shao, Q Wang - Chaos, Solitons & Fractals, 2023 - Elsevier
Inspired by the interplay between both electrical and chemical synapses, we propose an
analog electronic synapse-like model to characterize biological synaptic properties. By …
analog electronic synapse-like model to characterize biological synaptic properties. By …
Neutral impulsive shunting inhibitory cellular neural networks with time-varying coefficients and leakage delays
C Aouiti - Cognitive neurodynamics, 2016 - Springer
In this article, we consider a class of neutral impulsive shunting inhibitory cellular neural
networks with time varying coefficients and leakage delays. We study the existence and the …
networks with time varying coefficients and leakage delays. We study the existence and the …
Dynamics and oscillations of generalized high-order Hopfield neural networks with mixed delays
Existence and uniqueness of pseudo almost automorphic solutions for a class of high-order
Hopfield neural networks are established by employing a suitable fixed point theorem and …
Hopfield neural networks are established by employing a suitable fixed point theorem and …
New results on impulsive Cohen–Grossberg neural networks
This paper is concerned with an impulsive Cohen–Grossberg neural networks with mixed
delays. Under proper conditions, we studied the existence, the uniqueness and the global …
delays. Under proper conditions, we studied the existence, the uniqueness and the global …
Finite time boundedness of neutral high-order Hopfield neural networks with time delay in the leakage term and mixed time delays
This article deals with the finite time boundedness (FTB) and FTB-stabilization problem for a
general class of neutral high-order Hopfield neural networks (NHOHNNs) with time delay in …
general class of neutral high-order Hopfield neural networks (NHOHNNs) with time delay in …