利用基于人工智能的游戏规划选择高尔夫球杆。

IF 2.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY
Entropy Pub Date : 2024-09-19 DOI:10.3390/e26090800
Mehdi Khazaeli, Leili Javadpour
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引用次数: 0

摘要

在充满活力的高尔夫领域,每一次挥杆都可能决定胜负,因此战略性地选择高尔夫球杆已成为决定比赛结果的关键因素。人工智能的进步为增强决策过程开辟了新途径,使高尔夫球手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特定情况下选择最佳球杆。该系统考虑的因素包括距离、地形、风力和风向以及杆位质量。一个基于规则的模型会根据球员对每支球杆的最大击球数据提供四种最佳球杆选择。球员选择球杆、击球和目标后,概率分类模型将确定该击球是小鸟球机会、标准杆区域、柏忌区还是更差。我们的模型结果表明,将地形和大气特征等因素考虑在内,会增加获得更好击球结果的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Golf Club Selection with AI-Based Game Planning.

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.

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来源期刊
Entropy
Entropy PHYSICS, MULTIDISCIPLINARY-
CiteScore
4.90
自引率
11.10%
发文量
1580
审稿时长
21.05 days
期刊介绍: Entropy (ISSN 1099-4300), an international and interdisciplinary journal of entropy and information studies, publishes reviews, regular research papers and short notes. Our aim is to encourage scientists to publish as much as possible their theoretical and experimental details. There is no restriction on the length of the papers. If there are computation and the experiment, the details must be provided so that the results can be reproduced.
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