The Identification of High Potential Archers Based on Fitness and Motor Ability Variables: A Support Vector Machine Approach

• Main Authors: Zahari, Taha, Rabiu Muazu, Musa, Anwar, P. P. Abdul Majeed, Muhammad Muaz, Alim, Mohamad Razali, Abdullah
• Format: Article
• Language: English
• Published: Elsevier Ltd 2018
• Subjects: TS Manufactures
• Online Access: http://umpir.ump.edu.my/id/eprint/20341/1/The%20Identification%20of%20High%20Potential%20Archers%20Based%20on%20Fitness%20and%20Motor1.pdf; http://umpir.ump.edu.my/id/eprint/20341/; https://doi.org/10.1016/j.humov.2017.12.008; https://doi.org/10.1016/j.humov.2017.12.008

Support Vector Machine (SVM) has been shown to be an effective learning algorithm for classification and prediction. However, the application of SVM for prediction and classification in specific sport has rarely been used to quantify/discriminate low and high-performance athletes. The present study...