A Fuzzy-based Software Tool Used to Predict 110m Hurdles Results During the Annual Training Cycle

Krzysztof Przednowek, Krzysztof Wiktorowicz, Tomasz Krzeszowski, Janusz Iskra

2016

Abstract

This paper describes a fuzzy-based software tool for predicting results in the 110m hurdles. The predictive models were built on using 40 annual training cycles completed by 18 athletes. These models include: ordinary least squares regression, ridge regression, LASSO regression, elastic net regression and nonlinear fuzzy correction of least squares regression. In order to compare them, and choose the best model, leave-one-out cross-validation was used. This showed that the fuzzy corrector proposed in this paper has the lowest prediction error. The developed software can support a coach in planning an athlete's annual training cycle. It allows the athlete's results to be predicted, and in this way, for the best training loads to be selected. The tool is a web-based interactive application that can be run from a computer or a mobile device. The whole system was implemented using the R programming language with additional packages.

Paper Citation

in Harvard Style

Przednowek K., Wiktorowicz K., Krzeszowski T. and Iskra J. (2016). A Fuzzy-based Software Tool Used to Predict 110m Hurdles Results During the Annual Training Cycle . In Proceedings of the 4th International Congress on Sport Sciences Research and Technology Support - Volume 1: icSPORTS, ISBN 978-989-758-205-9, pages 176-181. DOI: 10.5220/0006043701760181

in Bibtex Style

@conference{icsports16,
author={Krzysztof Przednowek and Krzysztof Wiktorowicz and Tomasz Krzeszowski and Janusz Iskra},
title={A Fuzzy-based Software Tool Used to Predict 110m Hurdles Results During the Annual Training Cycle},
booktitle={Proceedings of the 4th International Congress on Sport Sciences Research and Technology Support - Volume 1: icSPORTS,},
year={2016},
pages={176-181},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006043701760181},
isbn={978-989-758-205-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Congress on Sport Sciences Research and Technology Support - Volume 1: icSPORTS,
TI - A Fuzzy-based Software Tool Used to Predict 110m Hurdles Results During the Annual Training Cycle
SN - 978-989-758-205-9
AU - Przednowek K.
AU - Wiktorowicz K.
AU - Krzeszowski T.
AU - Iskra J.
PY - 2016
SP - 176
EP - 181
DO - 10.5220/0006043701760181