Scientific Journal of KubSAU

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

Lutsenko Yevgeniy Veniaminovich

Scholastic degree


Academic rank

professor

Honorary rank

Organization, job position

Kuban State Agrarian University
   

Web site url

lc.kubagro.ru

Email

prof.lutsenko@gmail.com


Articles count: 276

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716 kb

SYNTHESIS OF THE SYSTEM-COGNITIVE MODELS OF A NATURAL-ECONOMIC SYSTEM, ITS USE FOR FORECASTING AND MANAGEMENT IN GRAIN PRODUCTION (Part 3 – forecasting and decision-making)

abstract 0901306059 issue 90 pp. 865 – 874 30.06.2013 ru 1649
In this article, the authors analyze forecasting and adoption of administrative decisions of a choice of agro technologies by means of application of the method of system-cognitive analysis
1054 kb

SYNTHESIS OF SYSTEM-COGNOTIVE MODELS OF A NATURAL-ECONOMIC SYSTEM, ITS USE FOR FORECASTING AND MANAGEMENT IN GRAIN PRODUCTION (4 part - the research of the object of simulation through the study of its model)

abstract 0901306060 issue 90 pp. 875 – 895 30.06.2013 ru 1374
In this article, the authors have conducted a survey of the system-cognitive model for forecasting and support of decision-making of the choice of agricultural technologies in the production of grain, providing the desired economic, energetic, financial and economic results with high probability
14854 kb

REALIZATION OF TESTS AND SUPERTESTS FOR VETERINARY AND MEDICAL DIAGNOSTICS IN THE EIDOS-X++ SYSTEM OF ARTIFICIAL INTELLIGENCE WITHOUT PROGRAMMING

abstract 0891305014 issue 89 pp. 167 – 207 29.05.2013 ru 826
The article considers the application of Eidos intellectual technologies for implementation of developed veterinary and medical diagnostics statistical tests without programming in the convenient form for the individual and mass testing, the analysis of the results and development of the individual and group recommendations. It is possible to merge several tests in one supertest
177 kb

SYNTHESIS OF SYSTEMIC COGNITIVE MODEL OF NATURAL ECONOMIC SYSTEM AND ITS USE FOR PREDICTION AND CONTROL IN GRAIN PRODUCTION (Part 1 - statement of the problem)

abstract 0891305089 issue 89 pp. 1288 – 1300 29.05.2013 ru 1656
The article basically formulates the problem of effective forecasting of results and acceptance - making on the choice of agricultural technologies to produce the desired result. We have offered and proved the possi-bility of forecasting and management in grain production through the application of artificial intelligence technologies, in particular - the method of systemic cognitive analysis
363 kb

SYNTHESIS OF SYSTEMIC COGNITIVE MODEL OF NATURAL ECONOMIC SYSTEM AND ITS USE FOR PREDICTION AND CONTROL IN GRAIN PRODUCTION (Part 2 – transformation of empirical data into information)

abstract 0891305090 issue 89 pp. 1301 – 1319 29.05.2013 ru 1551
This article at first time presents the synthesis and verification of systemic cognitive model of natural economic system, we have also justified the opportunity of forecasting and decision management, the strategic decisions of the choice of agricultural technologies
420 kb

THEORETICAL BASES, TECHNOLOGY AND TOOLS OF AUTOMATED SYSTEM-COGNITIVE ANALYSIS AND THE POSSIBILITY OF ITS APPLICATION FOR THE COMPARABLE ASSESSMENT OF THE EFFECTIVENESS OF UNIVERSITIES

abstract 0881304022 issue 88 pp. 341 – 360 30.04.2013 ru 2396
The article briefly reviews the method and basic concepts of the automated system-cognitive analysis and the possibility of its application for the comparable assessment of the effectiveness of uni-versities, at the conceptual level
3121 kb

IMPLEMENTATION OF PSYCHOLOGICAL, PEDAGOGICAL AND PROFESSION ORIENTED TESTS AND SUPER TESTS WITHOUT PROGRAMMING IN THE ENVIRONMENT OF THE EIDOS-X++ INTELLECTUAL SYSTEM (On the example of the test: Analysis of the individual style of pedagogical activity)

abstract 0881304076 issue 88 pp. 1058 – 1086 30.04.2013 ru 1815
The article describes the application of the Eidos intellectual technologies for the implementation of already developed psychological, pedagogical and profession oriented tests and super tests without programming in the form, convenient for mass testing, for the analysis of the results and the formulation of individual rec-ommendations
117 kb

CONCEPTUAL BASES OF MANAGEMENT OF THE ECONOMIC SUSTAINABILITY OF A PROCESSING REGIONAL COMPLEX WITH THE USE OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES

abstract 0871303057 issue 87 pp. 732 – 741 30.03.2013 ru 1768
The processing complex of a region is considered as a multi-level hierarchical active reflective system, which is the object of intellectual control. The economic stability of the regional processing complex is considered as one of the most important because of its characteristics, as they considerably affect the quantitative and the qualitative results of the work. The system-cognitive approach to the construction and verification of the system of intellectual models of processing of the regional complex is implemented. We have selected the most adequate model of the processing complex of the region, in which we explore the issues of management of its economic stability
448 kb

FORECASTING OF SUNFLOWER YIELD FOR THE KRASNODAR REGION WITH THE USE OF SYSTEM-COGNITIVE ANALYSIS (PART II: Formal statement of the problem and the transfor-mation of raw data into information, and infor-mation into knowledge)

abstract 0841210031 issue 84 pp. 376 – 401 28.12.2012 ru 1379
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)
1212 kb

FORECASTING OF SUNFLOWER YIELD FOR THE KRASNODAR REGION WITH THE USE OF SYSTEM-COGNITIVE ANALYSIS (PART III: Decision of the tasks of forecasting and research of the subject area)

abstract 0841210032 issue 84 pp. 402 – 427 28.12.2012 ru 1901
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
.