An Empirical Study of a Simple Incremental Classifier Based on Vector Quantization and Adaptive Resonance Theory
, et
26 mars 2024
À propos de cet article
Publié en ligne: 26 mars 2024
Pages: 149 - 165
Reçu: 01 juin 2023
Accepté: 24 sept. 2023
DOI: https://doi.org/10.61822/amcs-2024-0011
Mots clés
© 2024 Sylwester Czmil et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
Czmil, Sylwester
Department of Control and Computer Engineering, Rzeszow University of TechnologyRzeszów, Poland
Kluska, Jacek
Department of Control and Computer Engineering, Rzeszow University of TechnologyRzeszów, Poland
Czmil, Anna
Department of Control and Computer Engineering, Rzeszow University of TechnologyRzeszów, Poland