网球训练策略的心理变化因素的影响,使用优化的循环神经网络和人工智能
Yan Du1,2, Yujia Xia3, Lili Wang4
1School of Sociology and Anthropology, Xiamen University, Xiamen, 361005, China.
Heliyon
|July 19, 2024
概括
心理技能培训对网球运动员至关重要. 使用人工智能的优化循环神经网络 (RNN) 有助于提高训练和比赛期间的球员表现和心理健康.
科学领域:
- 运动科学 运动科学 运动科学
- 心理学 心理学 心理学
- 人工智能的人工智能
背景情况:
- 网球训练越来越多地强调心理技能.
- 心理因素显著影响网球运动员的集中度和比赛表现.
- 了解训练中的心理变化对于性能优化至关重要.
研究的目的:
- 调查心理因素对网球运动员集中度和比赛结果的影响.
- 分析影响网球训练策略心理变化的因素.
- 开发一个模型来预测网球训练中的心理痛苦.
主要方法:
- 利用循环神经网络 (RNN) 来建模人类心理变化.
- 集成的人工智能 (AI) 优化RNN性能,用于预测心理困扰.
- 使用问卷来评估网球运动员在心理调节干预之前和之后的运动状态.
主要成果:
- 心理调节干预措施对球员表现产生了积极影响.
- 在干预后,73%的球员表现正常,20%的球员表现异常好,7%的球员表现低于正常水平.
- 在AI的帮助下,优化的RNN模型证明了心理调节的有效性.
结论:
- 由人工智能增强的RNN支持的心理调节,有效地提高了网球运动员的表现.
- 这项研究强调了培养积极心理状态对于持续表现的重要性.
- 这种方法旨在确保网球运动员保持或超过他们通常的竞争水平.
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