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Please use this identifier to cite or link to this item: https://elib.bsu.by/handle/123456789/9975
Title: Evolution of detectors in neural network immune system for pattern recognition
Authors: Bezobrazov, S.
Golovko, V.
Keywords: ЭБ БГУ::ОБЩЕСТВЕННЫЕ НАУКИ::Информатика
Issue Date: 2011
Publisher: БГУ
Citation: Международный конгресс по информатике: информационные системы и технологии: материалы международного научного конгресса 31 окт. – 3 нояб. 2011 г. : в 2 ч. Ч. 2. – Минск: БГУ, 2011. – C. 233-237.
Abstract: In this paper we present the basic principles of the evolution of detectors in intelligent system for pattern recognition, such as malicious code detection. This system based on integration of both AI methods: artificial neural networks and artificial immune systems. The goal of the evolution is adaptation of detectors to new, unknown malicious code for increasing of quality of detection.
Description: Секция 9. Распознавание образов, информационные системы управления
URI: http://elib.bsu.by/handle/123456789/9975
ISBN: 978-985-518-564-3
Appears in Collections:2011. Международный конгресс по информатике : информационные системы и технологии. Часть 2.

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