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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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.

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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.

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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.

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Machine Learning in Sports978-981-13-2592-2Series ISSN 2191-530X Series E-ISSN 2191-5318

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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.