高尔夫球俱乐部选择与基于AI的游戏规划
Mehdi Khazaeli1, Leili Javadpour2
1School of Engineering and Computer Science, University of the Pacific, Stockton, CA 95211, USA.
Entropy (Basel, Switzerland)
|September 27, 2024
概括
这项研究介绍了一个人工智能高尔夫球比赛规划系统,以帮助玩家选择最好的俱乐部. 考虑到地形和风等因素,可以提高拍摄结果,以获得更好的性能.
科学领域:
- 运动科学 运动科学 运动科学
- 人工智能的人工智能
- 机器学习 机器学习
背景情况:
- 战略性高尔夫球杆选择对于最佳表现至关重要.
- 人工智能 (AI) 提供了增强高尔夫球员决策的新方法.
研究的目的:
- 引入基于人工智能的游戏规划系统,以协助高尔夫球手选择最佳的俱乐部,以适应各种场地场景.
- 用概率分类模型评估环境因素对射击结果的影响.
主要方法:
- 一个基于规则的模型根据玩家的最大投篮数据确定了前四个俱乐部选项.
- 一种概率分类模型在球棍和目标选择后评估了射门结果 (鸟,平,波吉或更糟).
- 该系统集成了环境数据,包括距离,地形,风力和地形质量.
主要成果:
- 人工智能系统提供四个俱乐部建议,根据特定的游戏情况量身定制.
- 概率模型准确地对潜在的结果进行了分类.
- 结合地形和大气数据显著增加了实现更好的拍摄结果的可能性.
结论:
- 由人工智能驱动的游戏规划系统可以提高高尔夫球手的决策和表现.
- 像地形和风等环境因素是高尔夫球中击球成功的关键预测因素.
- 这种方法提供了一种数据驱动的策略,用于改善高尔夫球比赛结果.
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