АНАЛИЗ РАСПОЗНАВАНИЯ ОБРАЗОВ В МАШИННОМ ОБУЧЕНИИ
DOI:
https://doi.org/10.52167/1609-1817-2023-128-5-250-259Ключевые слова:
нейронная сеть, машинное обучение, распознавание образов, идентификация моделей, безопасностьАннотация
В последнее время все большее внимание уделяется схеме нейронных сетей и методологии теории статистического обучения. Это требует внимания при разработке системы распознавания. Основная цель этой статьи - дать подробный обзор различных методов, которые можно использовать на разных этапах работы системы распознавания образов.
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Copyright (c) 2023 Күлжан Тогжанова, Жазира Джулаева , Нұржан Жұмахан, Сакен Мамбетов, Ержан Ильясов
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