A cluster analysis and artificial neural network of identifying skateboarding talents based on bio-fitness indicators

A cluster analysis and artificial neural network of identifying skateboarding talents based on bio-fitness indicators

This research aims to identify talented skateboarding athletes with reference to their bio-fitness indicators. A total of 45 skateboarders (23.09 ± 5.41 years) who were playing for recreational purposes were recruited for the study. Standard assessment of their bio-fitness as well as their skateboar...

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Bibliographic Details
Main Authors: Aina Munirah, Ab Rasid, Muhammad Zuhaili, Suhaimi, Anwar, P. P. Abdul Majeed, Mohd Azraai, Mohd Razman, Mohd Hasnun Ariff, Hassan, Nasree, Najmi, Noor Azuan, Abu Osman, Rabiu Muazu, Musa
Format: Conference or Workshop Item
Language:English
Published: Springer 2023
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://umpir.ump.edu.my/id/eprint/39749/
http://umpir.ump.edu.my/id/eprint/39749/1/A%20cluster%20analysis%20and%20artificial%20neural%20network%20of%20identifying%20skateboarding%20talents.pdf

Internet

http://umpir.ump.edu.my/id/eprint/39749/
http://umpir.ump.edu.my/id/eprint/39749/1/A%20cluster%20analysis%20and%20artificial%20neural%20network%20of%20identifying%20skateboarding%20talents.pdf

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