Global robust exponential stability for Hopfield neural networks with non-Lipschitz activation functions
type: Item
instance of: scholarly article
title: Global robust exponential stability for Hopfield neural networks with non-Lipschitz activation functions
zbMATH Open document ID: 1260.93131
author: Hongtao Yu
author: Huaiqin Wu
published in: Journal of Mathematical Sciences (New York)
publication date: 2013-04-24T00:00:00Z
full work available at URL: http://dspace.nbuv.gov.ua/handle/123456789/175586
Mathematics Subject Classification ID: 93D09
Mathematics Subject Classification ID: 92B20
Mathematics Subject Classification ID: 93C15
Mathematics Subject Classification ID: 93C41
zbMATH DE Number: 6157085
zbMATH Keywords: global robust exponential stability
zbMATH Keywords: Hopfield neural networks with norm-bounded parameter uncertainties
zbMATH Keywords: Brouwer degree
zbMATH Keywords: Lyapunov stability theory
MaRDI profile type: Publication
OpenAlex ID: W2089353494
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DOI: 10.1007/S10958-012-1079-6
description: scientific article; zbMATH DE number 6157085