Machine learning in elite volleyball : integrating performance analysis, competition and training strategies / Rabiu Muazu Musa ... [et al.].
- 其他作者：
- 其他題名：
- SpringerBriefs in applied sciences and technology
- 出版： Singapore : Springer c2021.
- 叢書名： SpringerBriefs in applied sciences and technology
- 主題： Volleyball--Data processing. , Machine learning.
- ISBN： 9789811631917 (pbk.): NT1373 、 9789811631924 (ebk.)
- 一般註：Includes bibliographical references.
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讀者標籤：
- 系統號： 000293019 | 機讀編目格式
館藏資訊
This brief highlights the use of various Machine Learning (ML) algorithms to evaluate training and competitional strategies in Volleyball, as well as to identify high-performance players in the sport. Several psychological elements/strategies coupled with human performance parameters are discussed in view to ascertain their impact on performance in elite Volleyball competitions. It presents key performance indicators as well as human performance parameters that can be used in future evaluation of team performance and players. The details outlined in this brief are vital to coaches, club managers, talent identification experts, performance analysts as well as other important stakeholders in the evaluation of performance and to foster improvement in this sport.