| 书目名称 | Machine Learning in Sports |
| 副标题 | Identifying Potentia |
| 编辑 | Rabiu Muazu Musa,Zahari Taha,Mohamad Razali Abdull |
| 视频video | |
| 丛书名称 | SpringerBriefs in Applied Sciences and Technology |
| 图书封面 |  |
| 描述 | This brief highlights the association of different performance variables that influences archery performance and the employment of different machine learning algorithms in the identification of potential archers. The sport of archery is often associated with a myriad of performance indicators namely bio-physiological, psychological, anthropometric as well as physical fitness. Traditionally, the determination of potential archers is carried out by means of conventional statistical techniques. Nonetheless, such methods often fall short in associating non-linear relationships between the variables. This book explores the notion of machine learning that is capable of mitigating the aforesaid issue. This book is valuable for coaches and managers in identifying potential archers during talent identification programs. |
| 出版日期 | Book 2019 |
| 关键词 | Archery Performance; Anthropometry Correlation; Bio-physiological Indicators; High Potential Archers; Pe |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-13-2592-2 |
| isbn_softcover | 978-981-13-2591-5 |
| isbn_ebook | 978-981-13-2592-2Series ISSN 2191-530X Series E-ISSN 2191-5318 |
| issn_series | 2191-530X |
| copyright | The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2019 |
发表于 2025-3-21 18:10:59
