An online gradient method with momentum for two-layer feedforward neural networks
type: Item
instance of: scholarly article
title: An online gradient method with momentum for two-layer feedforward neural networks
zbMATH Open document ID: 1187.68420
author: Nai-Min Zhang
published in: Applied Mathematics and Computation
publication date: 2009-06-24T00:00:00Z
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 5569588
zbMATH Keywords: neural networks
zbMATH Keywords: online gradient method
zbMATH Keywords: momentum
zbMATH Keywords: convergence
MaRDI profile type: Publication
full work available at URL: j.amc.2009.02.038
OpenAlex ID: W2030078509
cites work: Steepest descent with momentum for quadratic functions is a version of the conjugate gradient method
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cites work: Training multilayer perceptrons via minimization of sum of ridge functions
cites work: Convergence of gradient method for Eelman networks
cites work: Stability analysis of a three-term backpropagation algorithm
DOI: 10.1016/J.AMC.2009.02.038
description: scientific article; zbMATH DE number 5569588