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Neural Network Classifier Based on Growing Hyperspheres

SYSNO ASEP	0403973
Document Type	J - Journal Article
R&D Document Type	Journal Article
Subsidiary J	Ostatní články
Title	Neural Network Classifier Based on Growing Hyperspheres
Author(s)	Jiřina Jr., Marcel (UIVT-O) Jiřina, Marcel (UIVT-O)_{SAI, RID}
Source Title	Neural Network World. - : Ústav informatiky AV ČR, v. v. i. - ISSN 1210-0552 Roč. 10, č. 3 (2000), s. 417-428
Number of pages	12 s.
Action	Neural Network World 2000
Event date	09.07.2000-12.07.2000
VEvent location	Prague
Country	CZ - Czech Republic
Language	eng - English
Country	CZ - Czech Republic
Keywords	neural network ; classifier ; hyperspheres ; big-dimensional data
Subject RIV	BA - General Mathematics
CEZ	1030915
Annotation	This paper discusses a new approach to the classification of high-dimensional data using, Growing hyperspheres neural network (GHS net), based on the data representation by means of hyperspheres. The process of learning and recalling is precisely described. Features of the new network are discussed and comparised with other neural classifiers.
Workplace	Institute of Computer Science
Contact	Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
Year of Publishing	2001

Number of the records: 1