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 |
Files in This Item:
File | Description | Size | Format | |
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97-100.pdf | 281,47 kB | Adobe PDF | View/Open |
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