Neural Network Classifier Based on Growing Hyperspheres

0403973 - UIVT-O 20000113 RIV CZ eng J - Článek v odborném periodiku
Jiřina Jr., Marcel - Jiřina, Marcel
Neural Network Classifier Based on Growing Hyperspheres.
Neural Network World. Roč. 10, č. 3 (2000), s. 417-428. ISSN 1210-0552.
[Neural Network World 2000. Prague, 09.07.2000-12.07.2000]
Grant ostatní: MŠMT ČR(CZ) VS96047; MPO(CZ) RP-4210
Výzkumný záměr: AV0Z1030915
Klíčová slova: neural network * classifier * hyperspheres * big-dimensional data
Kód oboru RIV: BA - Obecná matematika

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.
Trvalý link: http://hdl.handle.net/11104/0003432