A hybrid particle swarm optimization-back-propagation algorithm for feedforward neural network training
type: Item
instance of: scholarly article
title: A hybrid particle swarm optimization-back-propagation algorithm for feedforward neural network training
zbMATH Open document ID: 1112.65059
author: Jingru Zhang
author: Jun Zhang
author: Tat-Ming Lok
author: Michael R. Lyu
published in: Applied Mathematics and Computation
publication date: 2007-03-27T00:00:00Z
Mathematics Subject Classification ID: 65K05
Mathematics Subject Classification ID: 90C15
Mathematics Subject Classification ID: 90C35
zbMATH DE Number: 5137771
zbMATH Keywords: particle swarm optimization algorithm
zbMATH Keywords: feedforward neural network
zbMATH Keywords: numerical examples
zbMATH Keywords: back-propagation algorithm
MaRDI profile type: Publication
full work available at URL: j.amc.2006.07.025
OpenAlex ID: W2051680981
cites work: Multilayer feedforward networks are universal approximators
cites work: Rough Sets and Current Trends in Computing
cites work: GA performance distributions and randomly generated binary constraint satisfaction problems.
DOI: 10.1016/J.AMC.2006.07.025
description: scientific article; zbMATH DE number 5137771