Effect analysis of functional physical fitness training based on improved genetic algorithm under functional analysis
Abstract
In addition to helping athletes enhance their athletic abilities and spark their interest in sports, youth athletics amateur training can also set the groundwork for athletes’ future athletic growth. Physical training still has less than optimal results for Chinese youth, nevertheless. The physical training effect of athletes can be maximized with the aid of amateur training. We can direct the creation of the most sensible physical training plan and choose the best physical training technique in order to achieve the ideal physical training goal and realize the steady improvement of athletes’ physical fitness by focusing more on and analyzing the fundamental and unique physical training strategies. Therefore, in order to improve the scientific and state-of-the-art analysis of training effect and to provide more scientific guidance for youth physical training, this paper introduces scientific quantitative indexes and personalized customized indexes into physical training from the perspective of genetic algorithms.
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