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An Empirical Study of a Simple Incremental Classifier Based on Vector Quantization and Adaptive Resonance Theory

Sylwester Czmil

Sylwester Czmil

Department of Control and Computer Engineering, Rzeszow University of TechnologyRzeszów, Poland
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Czmil, Sylwester
, 
Jacek Kluska

Jacek Kluska

Department of Control and Computer Engineering, Rzeszow University of TechnologyRzeszów, Poland
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Kluska, Jacek
 and 
Anna Czmil

Anna Czmil

Department of Control and Computer Engineering, Rzeszow University of TechnologyRzeszów, Poland
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Czmil, Anna
  
Mar 26, 2024
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Published Online: Mar 26, 2024
Page range: 149 - 165
Received: Jun 01, 2023
Accepted: Sep 24, 2023
DOI: https://doi.org/10.61822/amcs-2024-0011
Keywords
© 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
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Mathematics, Applied Mathematics
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