Planning Training Loads to Develop Technique and Rhythm in the 400m Hurdles using RBF Network

Krzysztof Przednowek, Janusz Iskra, Stanisław Cieszkowski, Karolina H. Przednowek

2015

Abstract

In this paper training loads to develop technique and rhythm in hurdles are presented. The training loads were generated using an artificial neural networks model with radial basis functions. The analysis included 21 hurdlers who were members of the Polish National Team. The calculations for the neural model were made using 48 training programmes. The evaluation of the models was carried out using the cross-validation method. Five independent variables (age, body height, body weight, current result and expected result) and four dependent variables representing the selected training loads were analyzed. The determined model generated training loads with an error of approximately 21%. Experimental results showed the training programme for a hypothetical athlete. The analysis shows that all the examined training loads are of a non-linear nature. The proposed solution can be used as a tool to support planning for selected training loads in 400 m hurdles.

References

  1. Alejo, B. (1993). Weight training for the 400-m hurdler. Track Technique, (123):3915-3918.
  2. Bishop, C. M. (2006). Pattern Recognition and Machine Learning. Information Science and Statistics. Springer-Verlag New York, Inc., Secaucus, NJ, USA.
  3. C?oh, M., Dolenec, A., Tomaz?in, K., and Zvan, M. (2008). Dynamic and kinematic analysis of the hurdle clearance technique. In C?oh, M., editor, Biomechanical Diagnostic Methods in Athletic Training, pages 109- 116. University of Ljubljana.
  4. Iskra, J. (2012). Scientific research in hurdle races . AWF Katowice.
  5. James, G., Witten, D., Hastie, T., and Tibshirani, R. (2013). An introduction to statistical learning. Springer.
  6. Maszczyk, A., Golas, A., Pietraszewski, P., Roczniok, R., Zajac, A., and Stanula, A. (2014). Application of neural and regression models in sports results prediction. Procedia-Social and Behavioral Sciences, 117:482- 487.
  7. McFarlane, B. (2000). The Science of Hurdling and Speed. Athletics Canada.
  8. Perl, J., Grunz, A., and Memmert, D. (2013). Tactics analysis in soccer-an advanced approach. International Journal of Computer Science in Sport, 12(2013):33- 44.
  9. Pfeiffer, M. and Perl, J. (2006). Analysis of tactical structures in team handball by means of artificial neural networks. International Journal of Computer Science in Sport, 5(1):4-14.
  10. Przednowek, K., Iskra, J., and Przednowek, K. H. (2014). Predictive modeling in 400-metres hurdles races. In 2nd Int. Congress on Sport Sciences Research and Technology Support - icSPORTS 2014, pages 137- 144. SCITEPRESS, Rome, Italy.
  11. Roczniok, R., Rygula, I., and Kwa sniewska, A. (2007). The use of Kohonen's neural networks in the recruitment process for sport swimming. Journal of Human Kinetics, 17:75-88.
  12. Rygula, I. (2005). Artificial neural networks as a tool of modeling of training loads. In Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the, pages 2985-2988.
  13. Silva, A. J., Costa, A. M., Oliveira, P. M., Reis, V. M., Saavedra, J., Perl, J., Rouboa, A., and Marinho, D. A. (2007). The use of neural network technology to model swimming performance. Journal of Sports Science and Medicine, 6(1):117-125.
  14. StatSoft, Inc. (2011). STATISTICA (data analysis software system), version 10. www.statsoft.com.
  15. Wiktorowicz, K., Przednowek, K., Lassota, L., and Krzeszowski, T. (2015). Predictive modeling in race walking. Computational Intelligence and Neuroscience.
Download


Paper Citation


in Harvard Style

Przednowek K., Iskra J., Cieszkowski S. and Przednowek K. (2015). Planning Training Loads to Develop Technique and Rhythm in the 400m Hurdles using RBF Network . In Proceedings of the 3rd International Congress on Sport Sciences Research and Technology Support - Volume 1: icSPORTS, ISBN 978-989-758-159-5, pages 245-249. DOI: 10.5220/0005610802450249


in Bibtex Style

@conference{icsports15,
author={Krzysztof Przednowek and Janusz Iskra and Stanisław Cieszkowski and Karolina H. Przednowek},
title={Planning Training Loads to Develop Technique and Rhythm in the 400m Hurdles using RBF Network},
booktitle={Proceedings of the 3rd International Congress on Sport Sciences Research and Technology Support - Volume 1: icSPORTS,},
year={2015},
pages={245-249},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005610802450249},
isbn={978-989-758-159-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Congress on Sport Sciences Research and Technology Support - Volume 1: icSPORTS,
TI - Planning Training Loads to Develop Technique and Rhythm in the 400m Hurdles using RBF Network
SN - 978-989-758-159-5
AU - Przednowek K.
AU - Iskra J.
AU - Cieszkowski S.
AU - Przednowek K.
PY - 2015
SP - 245
EP - 249
DO - 10.5220/0005610802450249