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首页> 外文期刊>BioTechnology: An Indian Journal >Based on numerical simulation exercise training implicit learning genetic algorithm
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Based on numerical simulation exercise training implicit learning genetic algorithm

机译：基于数值模拟的运动训练隐式学习遗传算法

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摘要

Athletes in important games because of focusing too much on the result of the match, there will be movement technology play an abnormal phenomenon called Choking phenomenon, generally accepted that an effective way to control the Choking phenomenon is implicit learning. Explicit knowledge acquisition to athletes sports skills as the prerequisite, reuse of implicit learning effectively restrain the phenomenon of Choking in order to achieve smooth performance. This article through to study the conditions of athletes Choking phenomenon, the introduction of athletes Choking index as the dependent variable, to establish regression model, using the fitness function of genetic algorithm, the football player game for data analysis. Data simulation and result analysis demonstrates these variables influence factors on the phenomenon of Choking, at the same time to control for athletes to reduce error plays an effective role.
机译：重要比赛中的运动员由于过于注重比赛结果，会出现运动技术发挥异常现象的现象，即窒息现象，人们普遍认为控制窒息现象的有效方法是隐性学习。显性知识获取以运动员的运动技能为前提，内隐学习的重用有效地抑制了窒息现象，从而达到了流畅的表现。本文通过研究运动员窒息现象的发生情况，引入运动员窒息指数作为因变量，建立回归模型，利用遗传算法的适应度函数，对足球运动员的比赛进行数据分析。数据仿真和结果分析表明，这些变量影响窒息现象的发生，同时对于控制运动员减少失误起着有效的作用。

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