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Application of binary dynamical systems in the problem of classification of Boolean vectors

Авторы: Oparin G.A., Bogdanova V.G., Pashinin A.A.

Журнал: CEUR Workshop Proceedings: 1st International Workshop on Advanced Information and Computation Technologies and Systems (AICTS 2020, Irkutsk, 7-11 December 2020)

Том: 2858

Номер:

Год: 2021

Отчётный год: 2021

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Аннотация: The article proposes a method based on using binary dynamical systems in the classification problem for Boolean vectors (binary feature vectors). This problem has practical application in various fields of science and industry, for example, bioinformatics, remote sensing of natural objects, smart devices of the Internet of things, etc. Binary synchronous autonomous nonlinear dynamic models with an unknown characteristic matrix are considered. Matrix elements are chosen in such a way that the Boolean reference vectors are equilibrium states of the binary dynamic model. The attraction regions of equilibrium states act as classes (one reference vector corresponds to each class). The classified vector is the initial state of the model. Simple and aggregated classifiers are considered. The proposed method is demonstrated using an illustrative example.

Индексируется WOS: Нет

Индексируется Scopus: Нет

Индексируется УБС: Нет

Индексируется РИНЦ: Да

Индексируется ВАК: Нет

Индексируется CORE: Нет

Публикация в печати: 0