Some sufficient conditions for global exponential stability of delayed Hopfield neural networks
type: Item
instance of: scholarly article
title: Some sufficient conditions for global exponential stability of delayed Hopfield neural networks
zbMATH Open document ID: 1091.68094
author: Hongtao Lu
author: Zhenya He
author: Fu-lai Chung
published in: Neural Networks
publication date: 2004-10-04T00:00:00Z
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 93D05
zbMATH DE Number: 2106088
zbMATH Keywords: Lyapunov functionals
zbMATH Keywords: Young's inequality
zbMATH Keywords: Hölder's inequality
MaRDI profile type: Publication
Wikidata QID: Q51683650
full work available at URL: j.neunet.2004.01.004
OpenAlex ID: W1974989968
cites work: On the global asymptotic stability of delayed cellular neural networks
cites work: Global stability conditions for delayed CNNs
cites work: On exponential stability and periodic solutions of CNNs with delays.
cites work: Exponential Convergence of Delayed Dynamical Systems
cites work: Q3860165
cites work: Globally exponential stability of neural networks with variable delays
DBLP publication ID: journals/nn/LuCH04
DOI: 10.1016/J.NEUNET.2004.01.004
description: scientific article; zbMATH DE number 2106088