The Neural Network as an Indicator for Classifying Students in Athletics Throwing Activities According to Some Physical and Motor Abilities and Their Physical Measurements

Abstract

Students for each activity of the researched (weight, disk, spear) for this game by means that each game or sporting activity needs appropriate physical measurements as its need for physical and motor capabilities, and the development in technology (artificial intelligence techniques), which we are witnessing in recent years, has given great opportunities To research the requirements of each activity or game of these games in general, and athletics in particular, which is like other games that consider testing and measurement as one of the important foundations that must be relied upon for classification and guidance to reach the individual to a high level as a result of continuous and organized research and a shortening of time and effort, From here, the problem of this study was embodied, as the researcher noticed that most of the competitions with the activities of pushing and throwing are represented by one player, and this is a phenomenon that must be considered. Because, as it is known, each activity has its own motor and physical capabilities and physical measurements, and for this the importance of the study lies in the classification and guidance of the use of artificial cell networks, where students are classified according to their physical measurements and physical and motor abilities.

        In the light of the above, the research objectives were formulated to identify the reality of the sample in some of the physical abilities, movement and physical measurements that the students enjoy, in order to classify them into homogeneous groups and classify the students according to some of the physical abilities, movement and physical measurements they have. The researcher used the descriptive approach in survey and correlation studies, and its suitability and the nature of the problem to be solved. The research community was determined by the students of the second stage in the College of Physical Education and Sports Sciences / University of Babylon for the academic year 2022-2023, whose number is (95) students. As for the statistical methods used, the researcher dealt with a group of them To facilitate its work and achieve its objectives.