0404197 - UIVT-O 20010058 RIV AT eng C - Konferenční příspěvek (zahraniční konf.)
Jiřina jr., M. - Kubalík, J. - Jiřina, Marcel
Genetic Implementation of a Classifier Based on Data Separation by Means of Hyperspheres.
Artificial Neural Nets and Genetic Algorithms. Proceedings of the International conference. Wien: Springer, 2001 - (Kůrková, V.; Steele, N.; Neruda, R.; Kárný, M.), s. 284-287. ISBN 3-211-83651-9.
[ICANNGA'2001 /5./. Praha (CZ), 22.04.2001-25.04.2001]
Grant CEP: GA MŠMT VS96047; GA MPO RP-4210/69/97
Výzkumný záměr: AV0Z1030915
Klíčová slova: hyperspheres * classifier * genetic algorithms
Kód oboru RIV: BA - Obecná matematika
DOI: https://doi.org/10.1007/978-3-7091-6230-9_70

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.
Trvalý link: http://hdl.handle.net/11104/0124464