Application of neural networks in optimization of the recruitment process for sport swimming

• Autorzy: Ryguła I. , Roczniok R.
• Języki publikacji: EN

Abstrakty

EN

The essence of the recruitment and selection in sports depends on determining an aptitude vector of the candidate to sport training. For this reason, the recruitment process may be optimized by determining possibly large amount of information on the sport level of the candidate with as small as possible number of tested characteristics, using a mathematical model based on neural networks. The main aim of this work was verification of the usefulness of neural models in optimization of the process of recruitment process, both at sprint distance of 50 m and typically endurance distance of 800 m. The material for the investigation was a group of 80 young swimmers in the youngster and junior category from the Silesian macro-region. For the purpose of verification of the usefulness of neural models, statistical analysis were made of the measurement results of young swimmers and two neural models were developed - for sprint distance (50 m) and endurance distance (800 m). The developed models, based on the architecture of perception networks, has shown capability of generalization and prediction, which has enabled to reach conclusions on practical possibility of using neural networks in optimization of the recruitment and selection process for sport swimming.

Słowa kluczowe

EN

recruitment process; selection process; neural networks

PL

proces rektutacji; proces selekcji; sieci nuronowe

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2004
• Tom: Vol. 7
• Strony: KB75--82
• Opis fizyczny: Bibliogr. 21 poz., rys., tab.

Twórcy

autor

Ryguła I.

• Dep. of Theory of Sport, University School of Physical Education 40-065 Katowice, 72a Mikołowska Str. Poland

autor

Roczniok R.

• Dep. of Theory of Sport, University School of Physical Education 40-065 Katowice, 72a Mikołowska Str. Poland

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