Effect Analysis of Functional Physical Fitness Training in Youth Amateur Track and Field Training Based on Improved Genetic Algorithm Under Functional Analysis

• Lei Wang ^[2] ; Tao Chen ^[1]
  1. [1] Beijing Sport University

     Beijing Sport University

     China

     
  2. [2] Beijing fangshan district sports school beijing 102401,China
• Localización: Revista de psicología del deporte, ISSN-e 1988-5636, ISSN 1132-239X, Vol. 32, Nº 4, 2023, págs. 121-132
• Idioma: inglés
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• Resumen

  • Athletics is in the basic position in sports, the improvement of sports quality, sports technology mastery is inseparable from athletics training, athletics training is an important way to improve the level of sports. China's amateur track and field training has played a major channel and role in the basic training of track and field, which has experienced nearly 50 years of development and achieved some excellent results, but it is not ideal. The economic development in the society has a great impact on the basic training of track and field, and only by solving the problems in the basic training of track and field well can we really improve the level of track and field in China. Youth amateur track and field training not only stimulates athletes' interest in sports and mastering track and field skills, but also lays the foundation for athletes' sports through physical training. At present, the physical training of our youth is not ideal. With the help of amateur training in track and field, it will bring continuous optimization to the athletes' physical training effect. To strengthen the attention and analysis of the basic and special strategies of physical fitness training in youth athletics amateur training, guide the development of the most reasonable physical fitness training plan and select the most suitable physical fitness training methods, so as to achieve the stable improvement of athletes' physical fitness and achieve the ideal goal of physical fitness training. Therefore, this paper introduces scientific quantitative and customized indexes into athletic training from the perspective of genetic algorithm, so as to improve the scientific and cutting-edge analysis of training effects.