Population Generation Methods for Metaheuristic Algorithms Used to Construct Compact Fuzzy Classifiers of Medical Data

Fuzzy classifiers differ from other machine learning algorithms in their ability to interpret the inference process, which is especially important in high responsibility subject areas such as medicine. The membership functions of fuzzy terms and the rule base are easy to visualize, so it is not diff...

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Veröffentlicht in:	Pattern recognition and image analysis Jg. 34; H. 3; S. 396 - 411
Hauptverfasser:	Bardamova, M., Svetlakov, M., Sarin, K., Hodashinskaya, A., Shurygin, Y., Hodashinsky, I.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Moscow Pleiades Publishing 01.09.2024
Schlagworte:	Computer Science Image Processing and Computer Vision Pattern Recognition Regular Papers Contributed to Pria Journal/Application Problems metaheuristic population initialization model parameter tuning data classification fuzzy classifier machine learning fuzzy systems metaheuristic algorithm
ISSN:	1054-6618, 1555-6212
Online-Zugang:	Volltext
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