Central European Journal of Sport Sciences and Medicine

ISSN: 2300-9705     eISSN: 2353-2807     DOI: 10.18276/cej.2017.1-02
CC BY-SA   Open Access   DOAJ  DOAJ

Issue archive / Vol. 17, No. 1/2017
The Use of Artificial Neural Networks in Supporting the Annual Training in 400 meter Hurdles

Authors: Janusz Iskra
Faculty of Physical Education and Physiotherapy, Opole University of Technology

Krzysztof Przednowek
Faculty of Physical Education, University of Rzeszow

Krzysztof Wiktorowicz
Faculty of Electrical and Computer Engineering, Rzeszow University of Technology

Tomasz Krzeszowski
Faculty of Electrical and Computer Engineering, Rzeszow University of Technology
Keywords: 400 meter hurdles artificial neural networks planning training loads
Year of publication:2017
Page range:10 (15-24)
Cited-by (Crossref) ?:


This paper presents an evaluation of the annual cycle for 400 m hurdles using artificial neural networks. The analysis included 21 Polish national team hurdlers. In planning the annual cycle, 27 variables were used, where 5 variables describe the competitor and 22 variables represent the training loads. In the presented solution, the task of generating training loads for the assumed result were considered. The neural models were evaluated by cross-validation method. The smallest error was obtained for the radial basis function network with nine neurons in the hidden layer. The performed analysis shows that at each phase of training the structure of training loads is different.
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