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Intelligence Planning for Aerobic Training Using a Genetic Algorithm

机译:利用遗传算法进行有氧训练的智能规划

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A training plan is an important part of aerobic training. A training plan with a good sequence of high intensive training sessions and low intensive training sessions will substantially raise athletic performance. A creation of training plan require a sport scientist or a sports coach to do. An athlete who trains with limit in sports science knowledge may get injury. In this study, we propose a systemic implementation using a genetic algorithm (GA) to find optimal training plan. Comparison of this study result and an independently created, apparently reliable training plan, it reveal that GA is obtain capability to find optimal training plan.
机译:培训计划是有氧培训的重要组成部分。培训计划具有良好的高强化培训课程和低强化培训课程,将大大提高运动表现。创造培训计划需要体育科学家或体育教练。一个以体育科学知识限制的运动员可能会受伤。在这项研究中,我们提出了使用遗传算法(GA)来找到最佳培训计划的系统性实现。该研究结果的比较和独立创建的,明显可靠的培训计划,它揭示了GA可以获得找到最佳培训计划的能力。

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