Algorithms for Prediction of Upper Body Power of Cross-Country Skiers: Prediction of Upper Body Power of Cross-Country Skiers Using Machine Learning Methods Combined With Feature Selection - Couverture souple

Özçiloğlu, Mustafa Mikail; Akay, Mehmet Fatih

 
9783330020290: Algorithms for Prediction of Upper Body Power of Cross-Country Skiers: Prediction of Upper Body Power of Cross-Country Skiers Using Machine Learning Methods Combined With Feature Selection
Couverture souple
ISBN 10 : 3330020296 ISBN 13 : 9783330020290
Editeur : LAP LAMBERT Academic Publishing, 2016

Synopsis

Upper body power (UBP) is one of the most important factors affecting the performance of cross-country skiers during races. The purpose of this study is to develop new prediction models for predicting the 10-second UBP (UBP10) and 60-second UBP (UBP60) of cross-country skiers by using General Regression Neural Networks (GRNN), Radial-Basis Function Network (RBF), Multilayer Perceptron (MLP), Support Vector Machine (SVM), Single Decision Tree (SDT) and Tree Boost (TB) along with the Relief-F feature selection algorithm, minimum redundancy maximum relevance (mRMR) feature selection algorithm and the Correlation-based Feature Subset Selection (CFS). Several models have been developed to predict UBP10 and UBP60 of cross-country skiers using two datasets. 10-fold cross validation has been performed for model testing. The efficiency of the prediction models has been calculated with their multiple correlation coefficients (R’s), standard error of estimates (SEE’s) and mean absolute percentage errors (MAPE’s). The results emphasize that GRNN-based prediction models show higher performance than the other regression methods.

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À propos de l'auteur

Mustafa Mikail ÖZÇİLOĞLU was born in Kilis, Turkey, in 1985. He received his BSc, MSc and PhD degrees from the Department of Computer Engineering of Mersin University, the Department of Computer Engineering of TOBB Economy and Technology University and the Department of Electrical and Electronics Engineering of Cukurova University, respectively.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2016
Langue
anglais
ISBN 10 
3330020296
ISBN 13 
9783330020290
Reliure
Broché
Nombre de pages
100
Coordonnées du fabricant
non disponible
Personne responsable
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