A theoretic-experimental method for vector optimization of neural network classifiers

DOI10.1007/S10559-010-9183-4zbMath1204.68162OpenAlexW1991115163MaRDI QIDQ1956972

Ju. K. Ziatdinov, A. A. Antoniuk, A. N. Voronin

Publication date: 24 September 2010

Published in: Cybernetics and Systems Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10559-010-9183-4

zbMATH Keywords

neural networksclassifiermulticriteria optimization

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Cites Work

• Self-training classifier of natural-language texts

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