On estimating neuronal states of delayed neural networks based on canonical Bessel-Legendre inequalities
type: Item
instance of: scholarly article
title: On estimating neuronal states of delayed neural networks based on canonical Bessel-Legendre inequalities
zbMATH Open document ID: 1448.93122
author: Xiuli Ma
author: Bo Liu
author: Xinchun Jia
published in: Journal of the Franklin Institute
publication date: 2020-10-07T00:00:00Z
Mathematics Subject Classification ID: 93B70
Mathematics Subject Classification ID: 93C43
Mathematics Subject Classification ID: 93C23
zbMATH DE Number: 7257541
zbMATH Keywords: neural networks
zbMATH Keywords: time-varying delays
zbMATH Keywords: dissipativity state estimation
zbMATH Keywords: Bessel-Legendre inequality
MaRDI profile type: Publication
full work available at URL: j.jfranklin.2020.06.020
OpenAlex ID: W3038658635
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DOI: 10.1016/J.JFRANKLIN.2020.06.020
description: scientific article; zbMATH DE number 7257541