Have a personal or library account? Click to login
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

Authors

M. Hoffmann

BioMotion Center, Institute of Sports and Sports Science, Karlsruhe Institute of Technology,, Karlsruhe, Germany

T. Moeller

Institute for Applied Training Science,, Leipzig, Germany

I. Seidel

Center, Institute of Sports and Sports Science, Karlsruhe Institute of Technology,, Karlsruhe, Germany
Olympic Training Centre Lower Saxony,, Melle-Bruchmühlen, Germany

T. Stein

BioMotion Center, Institute of Sports and Sports Science, Karlsruhe Institute of Technology,, Karlsruhe, Germany
DOI: https://doi.org/10.1515/ijcss-2017-0009 | Journal eISSN: 1684-4769
Journal RSS Feed
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.

Previous articleVolume 16 (2017): Issue 2 (November 2017)Next article