Khazaeli Mehdi, Javadpour Leili
School of Engineering and Computer Science, University of the Pacific, Stockton, CA 95211, USA.
Eberhardt School of Business, University of the Pacific, Stockton, CA 95211, USA.
Entropy (Basel). 2024 Sep 19;26(9):800. doi: 10.3390/e26090800.
In the dynamic realm of golf, where every swing can make the difference between victory and defeat, the strategic selection of golf clubs has become a crucial factor in determining the outcome of a game. Advancements in artificial intelligence have opened new avenues for enhancing the decision-making process, empowering golfers to achieve optimal performance on the course. In this paper, we introduce an AI-based game planning system that assists players in selecting the best club for a given scenario. The system considers factors such as distance, terrain, wind strength and direction, and quality of lie. A rule-based model provides the four best club options based on the player's maximum shot data for each club. The player picks a club, shot, and target and a probabilistic classification model identifies whether the shot represents a birdie opportunity, par zone, bogey zone, or worse. The results of our model show that taking into account factors such as terrain and atmospheric features increases the likelihood of a better shot outcome.
在充满活力的高尔夫领域,每一次挥杆都可能决定胜负,高尔夫球杆的战略选择已成为决定比赛结果的关键因素。人工智能的进步为改进决策过程开辟了新途径,使高尔夫球手能够在球场上实现最佳表现。在本文中,我们介绍了一种基于人工智能的比赛规划系统,该系统可帮助球员在给定场景下选择最佳球杆。该系统会考虑距离、地形、风力强度和方向以及击球位置质量等因素。一个基于规则的模型根据球员对每支球杆的最大击球数据提供四个最佳球杆选项。球员选择一支球杆、击球方式和目标,一个概率分类模型会识别此次击球是否代表小鸟球机会、标准杆区域、柏忌区域或更糟情况。我们模型的结果表明,考虑地形和大气特征等因素会增加打出更好击球结果的可能性。