A neural network model approach to athlete selection

被引：24
|
作者：
Maszczyk A. [1 ,2 ]
Zajac A. [1 ,2 ]
Ryguła I. [3 ]
机构：
[1] Chair of Sports Theory and Practice, Department of Methodology and Statistics, Academy of Physical Education, 40-065 Katowice
[2] 40-231 Katowice
[3] Department of System Analysis in Sport, Academy of Physical Education, 80-336 Gdańsk
来源：
Sports Engineering | 2011年 / 13卷 / 2期
关键词：
Artificial neural networks; Linear neural models; Multilayer perceptron (MLP); Non-linear neural models; Sports-selection; The method of Hellwig;
D O I：
10.1007/s12283-010-0055-y
中图分类号：
学科分类号：
摘要：
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. © 2010 The Author(s).
引用
收藏
页码：83 / 93
页数：10
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