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Please use this identifier to cite or link to this item: https://elib.bsu.by/handle/123456789/306206
Title: Synthesis of Automatic Recognition Systems Based on Properties Commonality
Authors: Krasnoproshin, Victor
Rodchenko, Vadim
Karkanitsa, Anna
Keywords: ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика
ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика
Issue Date: 2023
Publisher: Minsk : BSU
Citation: Pattern Recognition and Information Processing (PRIP’2023). Artificial Universe: New Horisont : Proceedings of the 16 th International Conference, Belarus, Minsk, October 17–19, 2023 / Belarusian State University : eds. A. Nedzved, A. Belotserkovsky. – Minsk : BSU, 2023. – Pp. 97-100.
Abstract: The paper explores an actual applied problem related to the synthesis of automatic recognition systems. The conceptual base of synthesis is determined by the methods of describing and separating classes. Three basic principles are known: enumeration of class members, commonality of properties, and clustering. The report proposes an original method for implementing the principle of commonality of properties, based on the search for combinations of features that provide classes distinguishing. The efficiency of the approach is confirmed by the results of a numerical experiment
URI: https://elib.bsu.by/handle/123456789/306206
ISBN: 978-985-881-522-6
Licence: info:eu-repo/semantics/openAccess
Appears in Collections:2023. Pattern Recognition and Information Processing (PRIP’2023). Artificial Intelliverse: Expanding Horizons

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