Performance Prediction and Evaluation in Female Handball Players Using Machine Learning Models

Machine learning models are implemented to perform tasks that human beings have difficulty completing. The analysis and prediction of players' performance of specific athletic tasks have increasing importance in both game and training planning. The diversity and complexity of specific types of...

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Veröffentlicht in:	IEEE access 2020, Vol.8, p.116321-116335
Hauptverfasser:	Oytun, Musa, Tinazci, Cevdet, Sekeroglu, Boran, Acikada, Caner, Yavuz, Hasan Ulas
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence athletic performance Back propagation Back propagation networks Basis functions Decision trees Games Handball Human performance Machine learning machine learning models Modeling Neural networks Performance evaluation Performance prediction Players Predictive models radial-basis function neural network Regression analysis Regression models Retraining Sports Support vector machines Training
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