Nonlinear gradient neural network for solving system of linear equations
type: Item
instance of: scholarly article
title: Nonlinear gradient neural network for solving system of linear equations
zbMATH Open document ID: 1469.68012
author: Lin Xiao
author: Zhiguo Tan
author: Zhijun Zhang
author: Bolin Liao
author: Ke Chen
author: Long Jin
author: Shuai Li
author: KenLi Li
published in: Information Processing Letters
publication date: 2018-12-05T00:00:00Z
Mathematics Subject Classification ID: 68Q06
Mathematics Subject Classification ID: 65F10
Mathematics Subject Classification ID: 68Q07
zbMATH DE Number: 6989085
zbMATH Keywords: systems of linear equations
zbMATH Keywords: fast convergence
zbMATH Keywords: nonlinear activation function
zbMATH Keywords: gradient neural network (GNN)
zbMATH Keywords: performance evaluation
MaRDI profile type: Publication
full work available at URL: j.ipl.2018.10.004
OpenAlex ID: W2896377848
cites work: A fully automated recurrent neural network for unknown dynamic system identification and control
cites work: Design, verification and robotic application of a novel recurrent neural network for computing dynamic Sylvester equation
cites work: Solving time-varying nonlinear inequalities using continuous and discrete-time Zhang dynamics
cites work: Numerical and Symbolic Computations of Generalized Inverses
cites work: A finite-time convergent dynamic system for solving online simultaneous linear equations
cites work: Nonlinear recurrent neural networks for finite-time solution of general time-varying linear matrix equations
cites work: A finite-time recurrent neural network for solving online time-varying Sylvester matrix equation based on a new evolution formula
Wikidata QID: Q129055607
DOI: 10.1016/J.IPL.2018.10.004
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description: scientific article; zbMATH DE number 6989085