Designing a classifier by a layered multi-population genetic programming approach
type: Item
instance of: scholarly article
title: Designing a classifier by a layered multi-population genetic programming approach
zbMATH Open document ID: 1115.68136
author: Jung-Yi Lin
author: Hao-Ren Ke
author: Been-Chian Chien
author: Wei-Pang Yang
published in: Pattern Recognition
publication date: 2007-05-23T00:00:00Z
Mathematics Subject Classification ID: 68T10
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 5156564
zbMATH Keywords: classification
zbMATH Keywords: evolutionary computation
zbMATH Keywords: multi-population genetic programming
describes a project that uses: UCI-ml
MaRDI profile type: Publication
full work available at URL: j.patcog.2007.01.003
OpenAlex ID: W2145001882
cites work: Q4845469
cites work: Q4363509
cites work: Learning effective classifiers with \(Z\)-value measure based on genetic programming
cites work: Q4739179
cites work: Q4799621
DOI: 10.1016/J.PATCOG.2007.01.003
description: scientific article; zbMATH DE number 5156564