Globally exponentially robust stability and periodicity of delayed neural networks
type: Item
instance of: scholarly article
title: Globally exponentially robust stability and periodicity of delayed neural networks
zbMATH Open document ID: 1061.94552
published in: Chaos, Solitons and Fractals
publication date: 2005-03-08T00:00:00Z
Mathematics Subject Classification ID: 94C05
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 93D20
Mathematics Subject Classification ID: 93C10
Mathematics Subject Classification ID: 34D05
zbMATH DE Number: 2141684
author: Jinde Cao
author: Tianping Chen
MaRDI profile type: Publication
full work available at URL: j.chaos.2004.03.019
OpenAlex ID: W2064446218
cites work: Stability of cellular neural networks with dominant nonlinear and delay-type templates
cites work: On stability of cellular neural networks with delay
cites work: On the global asymptotic stability of delayed cellular neural networks
cites work: Neurons with graded response have collective computational properties like those of two-state neurons.
cites work: Global Attractivity in Delayed Hopfield Neural Network Models
cites work: A set of stability criteria for delayed cellular neural networks
cites work: Global stability conditions for delayed CNNs
cites work: A synthesis procedure for Hopfield's continuous-time associative memory
cites work: Necessary and sufficient condition for absolute stability of neural networks
cites work: Absolute exponential stability of neural networks with a general class of activation functions
cites work: Convergence analysis of cellular neural networks with unbounded delay
cites work: Novel robust stability criteria for interval-delayed Hopfield neural networks
DOI: 10.1016/J.CHAOS.2004.03.019
description: scientific article; zbMATH DE number 2141684