A neural network model approach to athlete selection

In order to determine the usefulness of neural models in optimisation of recruitment processes, statistical analyses were carried out on measured results of javelin throwers using a full take off. A group of 140 Polish junior javelin throwers took part in the research. In order to choose the optimum combination of model parameters the Hellwig method was used. Linear and multilayer perceptron neural models were constructed and used to calculate combinations of variables. Statistical analysis of the results showed that the linear model was not able to describe precisely the relationship between the dependent variable and independent variables for the investigated group of young javelin throwers. For the investigated group, the perceptron network with a 4-3-2-1 structure gave the best predictive relationship for sports results of the javelin throwers.
© Copyright 2011 Sports Engineering. The Faculty of Health & Wellbeing, Sheffield Hallam University. All rights reserved.

Subjects: javelin throw experiment modelling training
Notations: technical and natural sciences sports facilities and sports equipment
DOI: 10.1007/s12283-010-0055-y
Published in: Sports Engineering
Published: 2011
Volume: 13
Issue: 2
Pages: 83-93
Document types: article
Language: English
Level: advanced