Learning-based complexity evaluation of radial basis function networks
type: Item
instance of: scholarly article
title: Learning-based complexity evaluation of radial basis function networks
zbMATH Open document ID: 1008.68765
DOI: 10.1023/A:1019999408474
author: Kayvan Najarian
published in: Neural Processing Letters
publication date: 2003-02-19T00:00:00Z
Mathematics Subject Classification ID: 68U99
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 1871175
zbMATH Keywords: computational complexity
zbMATH Keywords: computational learning theory
zbMATH Keywords: empirical risk minimization algorithm
zbMATH Keywords: Radial Basis Function Networks
MaRDI profile type: Publication
full work available at URL: a:1019999408474
OpenAlex ID: W1553821009
Recommended article: Complex-valued radial basis function network. I: Network architecture and learning algorithms
Recommended article: Complexity of Gaussian-radial-basis networks approximating smooth functions
Recommended article: Average-Case Learning Curves for Radial Basis Function Networks
Recommended article: Q4780349
Recommended article: Learning and Convergence of the Normalized Radial Basis Functions Networks
Recommended article: Almost optimal estimates for approximation and learning by radial basis function networks
description: scientific article; zbMATH DE number 1871175