name
Lutsenko Yevgeniy Veniaminovich
Scholastic degree
•
Academic rank
professor
Honorary rank
—
Organization, job position
• Kuban State Agrarian University
кафедра компьютерных технологий и систем
профессор
Research interests
Системно-когнитивный анализ, системы искусственного интеллекта, высшие формы сознания, перспективы человека, технологии и общества
Web site url
Current rating (overall rating of articles)
0
TOP5 co-authors
Articles count: 276
Сформировать список работ, опубликованных в Научном журнале КубГАУ
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01.00.00 Physical-mathematical sciences
Description
The article describes a numerical example of creating intellectual application designed to predict solar flares of different classes on the basis of the history of their development in the environment of "Eidos" system. As the source data, we used the database of UCI repository
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01.00.00 Physical-mathematical sciences
Description
Since there are many artificial intelligence systems, there is a need of comparable quality assessment of their mathematical models. For this purpose, these systems can be tested on the same database source data, for which it is very convenient to use a public database of the UCI repository. This work is aimed at the study and development of model practices of the database of the UCI repository to assess the quality of mathematical models of artificial intelligence systems
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PROGNOSIS OF RISKS OF CAR INSURANCE KASKO WITH THE APPLICATION OF SYSTEMIC-COGNITIVE ANALYSIS
Description
Application of systemic-cognitive analysis and its programming set of instruments of the system “AIDOS” for synthesis of a semantic informational model, taking into account the influence of different factors on sums of insurance payments of car insurance KASKO and use of this model for prognosis of insurance payments sums is described in the article.
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Description
The results of application of systemic-cognitive analysis for prognosis of risks of traffic accidents and sums of insurance payments in the system of compulsory auto insurance are described in the article.
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PREDICTION OF SEISMIC ACTIVITY AND CLIMATE ON THE BASIS OF SEMANTIC INFORMATION MODELING
Description
On the basis of semantic information models examined the dependence of parameters of seismic activity on the gravity of celestial bodies. The regional semantic information model of climate is developed
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Description
Prognosis of industrial results of some or other agro technologies application and support of decision taking by choice of such varieties of grains and rational agro technologies for their cultivation, which with most probability would show the given desirable industrial result in advance are cited in the article.
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Description
In this article, for the first time, the synthesis and veri-fication of the system-cognitive model of artificial ecosystems of sunflower crops in the Krasnodar region (at the levels of regions and in the whole region) are carried out. On the basis of the developed models, there are solved tasks: 1. Forecasting scenario of sun-flower yield for the period from 1 to 5 years. 2. The scientific study of artificial ecosystems of sunflower crops in the Krasnodar region (at the levels of regions and in the whole region)
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Description
In the article we have offered the technology and the methodology for the formulation and the solution of the problem of forecasting scenarios of changes in yield sunflower seeds at the level of a region and its districts, on the basis of the system-cognitive model that is different from the traditional: a high degree of formalization of the model of knowledge; the possibil-ity of the synthesis matrix transfer function of the object of forecasting directly on the basis of empirical data; correct work with incomplete (fragmented) and noisy data. For the first time, the study of the system-cognitive model of artificial ecosystems of sunflower in the Krasnodar Region, which is correctly regarded as the study of the ecosystem, as the verification of this model has shown its high adequacy has been conduct-ed
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Description
Programming idea of systemic generalization of mathematics, essence of which consists of total change of meaning “set” on more common meaning “system” and tracing of all consequences of it is formulated and generalized in the article. Observance of adequacy principle, which is mandatory for more common theory is provided under it, because a system with zero level of systemic character is set. Expanded example of realization of this programming idea as a systemic information theory, which is systemic generalization of information theory of Nikewest-Boltzman-Hartley-Shannon and semantic information theory of Kharkevich , which was offered by the author, is brought.
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01.00.00 Physical-mathematical sciences
Description
The article discusses the expansion of artificial intelli-gence "Aidos-Astra" for applications with the empirical data of high dimensionality. Application, written in the language JAVA, allows you to prepare and visualize the information content of the matrix without re-strictions imposed by the architecture of the system "Aidos-Astra "
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