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Омский научный вестник
Article . 2011
Data sources: CyberLeninka - Russian open access scientific library
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Алгоритм классификации параметров объектов на основе нечеткой (fuzzy) логики

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2011 Russian Publisher:Государственное образовательное учреждение высшего профессионального образования "Омский государственный технический университет"Journal:Омский научный вестник (issn: 1813-8225, Copyright policy )

Алгоритм классификации параметров объектов на основе нечеткой (fuzzy) логики

Abstract

Разработан алгоритм классификации параметров объектов с использованием самоор­ганизации. Алгоритм дает возможность адаптивно изменять количество классов в зави­симости от структуры входных данных. Представлены структурные схемы устройств, реализующих разработанный алгоритм.

The algorithm of fuzzy classification of objects is designed. This algo­rithm classifies the objects and adaptively corrects the classes. The struc­ture scheme of the devices, which realizes the algorithm, is shown.

Keywords

АЛГОРИТМ, КЛАССИФИКАЦИЯ ПАРАМЕТРОВ, САМООРГАНИЗАЦИЯ, КОРРЕКТИ­РОВКА КЛАССОВ

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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