CLASSIFICATION TREE AND THEIR APPLICATION FOR CLASSIFICATION OF STUDENTS OF VARIOUS GROUPS OF SPORTS AND PEDAGOGICAL IMPROVEMENT
Journal Title: Збірник наукових праць «Педагогічні науки» - Year 2018, Vol 82, Issue 3
Abstract
The purpose of the work is the development of a decision tree model, depending on the dominance of the energy supply regimes for the realization of activities that can be used to determine the structure of students of different groups of sports and pedagogical improvement, depending on the dominance of the energy supply regimes for the implementation of activities. Methods of research: somatometry, spectral analysis of heart rhythm, photoplethysmography, machine learning methods. These methods of artificial intelligence, quite rightly, have recently been used to provide management of complex cybernetic systems related to the training of specialists in physical education and sports in the process of sports and pedagogical improvement of students. In particular, sophisticated methods of machine learning and intelligent data analysis in physical culture, sports analysis are in place to support decision-making on multidirectional aspects of sporting and pedagogical activity. Students differentiate in groups of SPI according to the body length, the relative strength of the 1st load when performing the PWC170 test, the oxygen saturation of the blood into the resuscitation phase after the completion of the test and the duration of the pulse wave in the basal conditions. Separation by the groups of the SPI allows to determine the domination of energy substrates when performing the metered physical.
Authors and Affiliations
С. Г. Приймак, А. В. Заворотинський
Keywords
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