Machine Learning in Sports Identifying Potential Archers /

• Κύριοι συγγραφείς: Muazu Musa, Rabiu (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Taha, Zahari (http://id.loc.gov/vocabulary/relators/aut), P.P.Abdul Majeed, Anwar (http://id.loc.gov/vocabulary/relators/aut), Abdullah, Mohamad Razali (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: SpringerBriefs in Applied Sciences and Technology,
• Θέματα: Computational intelligence.; Sports.; Computer simulation.; Sports-Psychological aspects.; Biomedical engineering.; Application software.; Computational Intelligence.; Sport.; Simulation and Modeling.; Sport Psychology.; Biomedical Engineering and Bioengineering.; Computer Appl. in Social and Behavioral Sciences.

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...

Πίνακας περιεχομένων:

• Introduction
• Bio-physiological indicators in evaluating archery performance
• Psychological variables in ascertaining potential archers
• Anthropometry correlation to archery performance
• Physical fitness parameters in the identification of high potential archers
• Concluding remarks.