The employment of Support Vector Machine to classify high and low performance archers based on bio-physiological variables
The present study employs a machine learning algorithm namely support vector machine (SVM) to classify high and low potential archers from a collection of bio-physiological variables trained on different SVMs. 50 youth archers with the average age and standard deviation of (17.0 ±.056) gathered from...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IOP Publishing
2018
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/21233/ http://umpir.ump.edu.my/id/eprint/21233/ http://umpir.ump.edu.my/id/eprint/21233/1/employment%20of%20Support%20Vector%20Machine%20to%20classify%20high-fkp-2018.pdf |