Machine Learning in Sports Identifying Potential Archers /

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...

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Detaylı Bibliyografya
Asıl Yazarlar: Muazu Musa, Rabiu (Yazar), Taha, Zahari (Yazar), P.P.Abdul Majeed, Anwar (Yazar), Abdullah, Mohamad Razali (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Singapore : Springer Nature Singapore : 2019.
Imprint: Springer,
Edisyon:1st ed. 2019.
Seri Bilgileri:SpringerBriefs in Applied Sciences and Technology,
Konular:
Computational intelligence.
Sports sciences.
Computer simulation.
Sports > Psychological aspects.
Biomedical engineering.
Social sciences > Data processing.
Computational Intelligence.
Sport Science.
Computer Modelling.
Sport Psychology.
Biomedical Engineering and Bioengineering.
Computer Application in Social and Behavioral Sciences.
Online Erişim:Full-text access
İçindekiler:
  • 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.

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