Genetic Implementation of a Classifier Based on Data Separation by Means of Hyperspheres

Number of the records: 1

SYSNO ASEP	0404197
Document Type	C - Proceedings Paper (int. conf.)
R&D Document Type	Conference Paper
Title	Genetic Implementation of a Classifier Based on Data Separation by Means of Hyperspheres
Author(s)	Jiřina jr., M. (CZ) Kubalík, J. (CZ) Jiřina, Marcel (UIVT-O)_{SAI, RID}
Source Title	Artificial Neural Nets and Genetic Algorithms. Proceedings of the International conference / Kůrková V. ; Steele N.C. ; Neruda R. ; Kárný M.. - Wien : Springer, 2001 - ISBN 3-211-83651-9
Pages	s. 284-287
Number of pages	4 s.
Action	ICANNGA'2001 /5./
Event date	22.04.2001-25.04.2001
VEvent location	Praha
Country	CZ - Czech Republic
Event type	WRD
Language	eng - English
Country	AT - Austria
Keywords	hyperspheres ; classifier ; genetic algorithms
Subject RIV	BA - General Mathematics
R&D Projects	VS96047 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
	RP-4210/69/97 GA MPO - Ministry of Industry and Trade (MPO)
CEZ	1030915
UT WOS	000170132600070
DOI	https://doi.org/10.1007/978-3-7091-6230-9_70
Annotation	The main idea of the GHS classification consists in data separation by n-dimensional hyperspheres properly spread over the training data. The main part of this paper is focused on a precise description of the classifier implementation by genetic algorithms.
Workplace	Institute of Computer Science
Contact	Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
Year of Publishing	2002

Number of the records: 1