Cross-validation based weights and structure determination of Chebyshev-polynomial neural networks for pattern classification
type: Item
instance of: scholarly article
title: Cross-validation based weights and structure determination of Chebyshev-polynomial neural networks for pattern classification
zbMATH Open document ID: 1373.68362
author: Yonghua Yin
author: Xiaotian Yu
author: Lin Xiao
author: Yunong Zhang
author: Dong-Sheng Guo
published in: Pattern Recognition
publication date: 2017-11-10T00:00:00Z
Mathematics Subject Classification ID: 68T10
Mathematics Subject Classification ID: 33C45
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 6805201
zbMATH Keywords: cross validation
zbMATH Keywords: Chebyshev polynomial
zbMATH Keywords: neural network
zbMATH Keywords: pattern classification
zbMATH Keywords: robustness
describes a project that uses: UCI-ml
describes a project that uses: LIBSVM
MaRDI profile type: Publication
full work available at URL: j.patcog.2014.04.026
OpenAlex ID: W2008095228
cites work: Pattern classification by linear goal programming and its extensions
cites work: Multi-class pattern classification using neural networks
cites work: Using Chebyshev polynomials to approximate partial differential equations
cites work: Extension of Bernstein polynomials to infinite dimensional case
cites work: The Predictive Sample Reuse Method with Applications
cites work: A survey of cross-validation procedures for model selection
cites work: Orthogonal polynomials of several variables
cites work: Machine learning for first-order theorem proving
cites work: Q4936225
DOI: 10.1016/J.PATCOG.2014.04.026
description: scientific article; zbMATH DE number 6805201