Neural Network Modelling for Sports Performance Classification as a Complex Socio-Technical System

Extraction of meaningful information by using artificial neural networks, where the focus is upon developing new insights for sports performance and supporting decision making, is crucial to gain success. The aim of this article is to create a theoretical framework and structurally connect the sport...

Full description

Saved in:
Bibliographic Details
Published inInformation Technology and Management Science Vol. 19; no. 1; pp. 45 - 52
Main Authors Namatēvs, Ivars, Aleksejeva, Ludmila, Poļaka, Inese
Format Journal Article
LanguageEnglish
Published De Gruyter Open 01.12.2016
RTU PRESS
Subjects
Classification
data pre-processing
multi-layer neural networks
sports performance
Online AccessGet full text

Cover

More Information
Summary:Extraction of meaningful information by using artificial neural networks, where the focus is upon developing new insights for sports performance and supporting decision making, is crucial to gain success. The aim of this article is to create a theoretical framework and structurally connect the sports and multi-layer artificial neural network domains through: (a) describing sports as a complex socio-technical system; (b) identification of pre-processing subsystem for classification; (c) feature selection by using data-driven valued tolerance ratio method; (d) design predictive system model of sports performance using a backpropagation neural network. This would allow identifying, classifying, and forecasting performance levels for an enlarged data set.
ISSN:2255-9094
2255-9094
DOI:10.1515/itms-2016-0010