АСК-анализ, моделирование и идентификация живых существ на основе их фенотипических признаков

Lutsenko Y. V.; Penkina Y. N.

АСК-анализ, моделирование и идентификация живых существ на основе их фенотипических признаков | ASK-ANALYSIS, MODELING AND IDENTIFICATION OF LIVING BEINGS ON THE BASIS OF THEIR PHENOTYPIC CHARACTERISTICS

2014

Lutsenko Y. V. | Penkina Y. N.

Since there are many alternatives to artificial intelligence systems, there is a need of assessment of the quality of mathematical models and systems of artificial intelligence that support these models. This work is aimed at studying and developing standard methods of using the database of UCI repository to assess the quality of mathematical models of systems of artificial intelligence. The aim of this work is the development of methods for assessment of the quality of mathematical models of artificial intelligence systems for the classification of animals by external evidence-based database of the UCI repository. The objectives are: systematization, consolidation and expansion of theoretical and practical knowledge in the discipline of Intellectual information systems and technologies; study of "Eidos" intelligent information system; solving the task with the use of "Eidos" intelligent information systems. The object of research is the "zoo" database of UCI repository. In the first Chapter there is an overview of the theory to the solution of the problem, identification of problems, the original data, tools and metrization scales. In the second Chapter of the work we present the solution of the task. In the conclusion, the results of the work have been made; the conclusions on the achievement of goals and objectives have been given

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