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Please use this identifier to cite or link to this item: http://research.bfu.bg:8080/jspui/handle/123456789/1310

Заглавие: ИЗКУСТВЕНИ ИМУННИ СИСТЕМИ
Други Заглавия: ARTIFICIAL IMMUNE SYSTEMS
Автори: Иванов, Александър
Ключови Думи: machine learning
artificial immune systems
artificial intelligence
Issue Date: 2018
Издател: Бургаски свободен университет, 8000 Бургас, ул. "Сан Стефано" №62
Цитиране: https://www.bfu.bg/uploads/pages/godichnik-2018-b5.pdf
Серия/Отчет но.: ТОМ XXXVIII;с. 221-229
Резюме: Biologically inspired artificial systems are a major topic in the field of Artificial Life. Artificial Life itself is the discipline encompassing Artificial Intelligence and it is one of the most promising areas of modern academic research. Algorithms inspired by natural intelligence are very powerful and efficient tools for solving various kinds of practical problems such as classification, regression, optimisation. The immune systems of most animals, including humans, are smart protective systems, capable of adaptation. The immune mechanisms for specializing in protection against particular kinds of pathogens is one of the most interesting features studied by researchers. This ability can be modeled and used in machine learning tasks. This paper presents a brief overview of the current insights and technologies regarding this interesting topic.
URI: http://research.bfu.bg:8080/jspui/handle/123456789/1310
ISSN: 1311-221X
Appears in Collections:2018

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