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Titlebook: Machine Learning in Sports; Identifying Potentia Rabiu Muazu Musa,Zahari Taha,Mohamad Razali Abdull Book 2019 The Author(s), under exclusiv

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21#
發(fā)表于 2025-3-25 06:44:04 | 只看該作者
Introduction, learning in sporting activities, the clustering technique as well as a brief introduction of the machine learning techniques utilised in the present study. The participants are considered, and also the archery shooting test is presented.
22#
發(fā)表于 2025-3-25 10:20:51 | 只看該作者
23#
發(fā)表于 2025-3-25 14:17:20 | 只看該作者
Psycho-Fitness Parameters in the Identification of High-Potential Archers,scle strength, core muscle strength, static balance, vertical jump and athletic coping skills, were shown to be able to provide a reasonable clustering of the archers. Moreover, it was established that the coarse variation of the .-NN model yields the better classification of the HPA and LPA.
24#
發(fā)表于 2025-3-25 17:55:36 | 只看該作者
Concluding Remarks,This chapter provides the general conclusion of the present brief. The limitations, practical implications as well as the future direction of the study are also briefly discussed in this chapter.
25#
發(fā)表于 2025-3-25 21:55:08 | 只看該作者
26#
發(fā)表于 2025-3-26 00:28:47 | 只看該作者
27#
發(fā)表于 2025-3-26 06:19:57 | 只看該作者
28#
發(fā)表于 2025-3-26 11:42:56 | 只看該作者
Machine Learning in Sports978-981-13-2592-2Series ISSN 2191-530X Series E-ISSN 2191-5318
29#
發(fā)表于 2025-3-26 16:10:41 | 只看該作者
30#
發(fā)表于 2025-3-26 19:12:27 | 只看該作者
Psychological Variables in Ascertaining Potential Archers,and achievement motivation, goal setting and mental preparation is non-trivial in the achievement of high archery shooting score. It was also shown that the tansig-based ANN model could provide the better classification of HPA and LPA.
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