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Predicting Elite Triathlon Performance: A Comparison of Multiple Regressions and Artificial Neural Networks Cover

Predicting Elite Triathlon Performance: A Comparison of Multiple Regressions and Artificial Neural Networks

International Journal of Computer Science in Sport
Volume 16 (2017): Issue 2 (November 2017)
By: M. Hoffmann,  T. Moeller,  I. Seidel and  T. Stein  
Open Access
|Nov 2017

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DOI: https://doi.org/10.1515/ijcss-2017-0009 | Journal eISSN: 1684-4769
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Language: English
Page range: 101 - 116
Published on: Nov 30, 2017
Published by: International Association of Computer Science in Sport
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
professional triathletes,
performance prediction,
racetime normalization,
factor analysis,
dominance paired comparison
Related subjects:
Computer sciences,
Databases and data mining,
Computer sciences, other,
Sports and recreation,
Physical education,
Sports and recreation, other

© 2017 M. Hoffmann, T. Moeller, I. Seidel, T. Stein, published by International Association of Computer Science in Sport
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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