مجلة التميز
Volume 6, Numéro 1, Pages 24-33
2024-03-15
تقنين أحمال تدريبية باستعمال تقنيات الذكاء الاصطناعي لتطوير تحمل القدرة للاعبين كرة القدم بأعمار (16-18) سنة
الكاتب : استاذ دكتور ا.د سعد منعم نافع النعيمي الشيخلياستاذ .
الملخص
loads using artificial intelligence techniques to develop the endurance of football players aged (16-18) years Prof. Dr. Saad Munam Nafie Al-Nuaimi Al-Sheekhly Uruk University/College of Physical Education and Sports Sciences (saadalsheekhly@yahoo.com) Abstract: Due to the large volume of data and information that must be available about the components of the trainee’s training load and related to the training methods and methods used by the training staff, those responsible for the training process are required to use technology in order to process and interpret that data to facilitate the task of the training process and advance the correct path, and it must be followed to avoid injuries or pregnancy. excess, As well as using the results of these algorithmic processes and the information they have reached to improve the player’s performance, make strategic decisions, and better understand the nature of training methods. The aim of the study was to prepare training loads and codify them using artificial intelligence techniques to develop the endurance ability of football players aged (16-18) years during the special preparation stage. Endurance includes (speed endurance, power endurance, and strength characterized by speed and performance endurance), and that these abilities Physical performance determines the physical performances most used during a football match, and has an important role in performing the basic skills of football players. Through the researcher used the experimental method on a sample of (10) players representing the youth of the Air Force Club, while the research community represented the youth players of Baghdad clubs, numbering (7) clubs, registered with the Central Iraqi Football Federation for the 2022/2023 football season, which is Their number is (175) players, represented by the professional league clubs (Al-Zawraa, Al-Talaba, Al-Shorta, Al-Quwa Al-Airiya, Al-Naft, Al-Karkh, Al-Hudood). The sample constitutes a percentage of (5.714%). The training curriculum that was implemented on members of the research sample during the special preparation phase included (32) training units during (8) weeks, four training units per week. The researcher took into account the application of scientific foundations and principles of training science while preparing and codifying the training loads through the use of artificial intelligence technology based on the individual data and information of the trainee, which includes (height, mass, chronological age, and training age), so that the training loads are codified using the maximum heart rate that was determined from Before the artificial intelligence technology used in the study, represented by the Polar H10 device. The researcher concluded that the process of codifying training loads using artificial intelligence techniques has a positive impact on the results of the pre- and post-tests, and in favor of the post-tests for the variables under study represented by (speed endurance, force endurance, and strength characterized by speed and performance endurance) among the individuals of the research sample, the variation in the rate of development of the level of physical performance of abilities. Physical under study. Keywords: rationing training loads - artificial intelligence techniques - endurance - football.
الكلمات المفتاحية
تقنين أحمال تدريبية ; تقنيات الذكاء الاصطناعي ; تحمل القدرة ; كرة قدم
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