Scientific Journal of KubSAU

Polythematic online scientific journal
of Kuban State Agrarian University
ISSN 1990-4665
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Name

Murenko Ivan Viktorovich

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Honorary rank

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Kuban State Agrarian University
   

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murenkoivan@yandex.ru


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IDENTIFICATION OF VARIETIES OF IRISES BY THEIR APPEARANCE WITH THE USE OF ASC-ANALYSIS AND "EIDOS" INTELLECTUAL SYSTEM (REPOSITORY UCI DATA)

abstract 1231609121 issue 123 pp. 1801 – 1835 30.11.2016 ru 373
The creation of artificial intelligence systems is one of important and perspective directions of development of modern information technology. Since there are many alternatives of mathematical models of systems of artificial intelligence, there is a need to assess the quality of these models, which requires their comparison. To achieve this goal we require free access to the source data and methodology, which allows to convert these data into a form needed for processing in artificial intelligence. A good choice for these purposes is a database of test problems for systems of artificial intelligence of repository of UCI. In this work we used the database "Iris Data Set" from the bank's original task of artificial intelligence – UCI repository, which solved the problem of formalization of the subject area (development of classification and descriptive dials and graduations and the encoding of the source data, resulting training sample, essentially representing a normalized source data), synthesis and verification statistical and system-cognitive models of the subject area, identify colors with classes, which serve varieties of Iris, as well as studies of the subject area by studying its model. To solve these problems we used the automated system-cognitive analysis (ASC-analysis) and its programmatic Toolkit – intellectual system called "Eidos"
.