An iterative learning algorithm for feedforward neural networks with random weights
type: Item
instance of: scholarly article
title: An iterative learning algorithm for feedforward neural networks with random weights
zbMATH Open document ID: 1390.68518
author: Feilong Cao
author: Dianhui Wang
author: Houying Zhu
author: Yuguang Wang
published in: Information Sciences
publication date: 2018-05-22T00:00:00Z
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 6870822
zbMATH Keywords: neural networks with random weights
zbMATH Keywords: learning algorithm
zbMATH Keywords: stability
zbMATH Keywords: convergence
describes a project that uses: UCI-ml
MaRDI profile type: Publication
full work available at URL: j.ins.2015.09.002
OpenAlex ID: W1643510495
Wikidata QID: Q60138317
cites work: Fast decorrelated neural network ensembles with random weights
cites work: Fast Discrete Curvelet Transforms
cites work: A probabilistic learning algorithm for robust modeling using neural networks with random weights
cites work: Improving nonlinear modeling capabilities of functional link adaptive filters
cites work: An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
cites work: Distributed learning for random vector functional-link networks
cites work: Another control condition in an iterative method for nonexpansive mappings
DOI: 10.1016/J.INS.2015.09.002
DBLP publication ID: journals/isci/CaoWZW16
description: scientific article; zbMATH DE number 6870822