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...

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Main Authors: Namatēvs Ivars, Aleksejeva Ludmila, Poļaka Inese
Format: Article
Language:English
Published: RTU PRESS 2016-12-01
Series:Information Technology and Management Science
Subjects:
Online Access:http://www.degruyter.com/view/j/itms.2016.19.issue-1/itms-2016-0010/itms-2016-0010.xml?format=INT
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author Namatēvs Ivars
Aleksejeva Ludmila
Poļaka Inese
author_facet Namatēvs Ivars
Aleksejeva Ludmila
Poļaka Inese
author_sort Namatēvs Ivars
collection DOAJ
description 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.
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spelling doaj.art-c9306217562d44b5a1c8f3acf7e0256b2022-12-22T02:35:20ZengRTU PRESSInformation Technology and Management Science2255-90942016-12-01191455210.1515/itms-2016-0010itms-2016-0010Neural Network Modelling for Sports Performance Classification as a Complex Socio-Technical SystemNamatēvs Ivars0Aleksejeva Ludmila1Poļaka Inese2Riga Technical University, LatviaRiga Technical University, latviaRiga Technical University, latviaExtraction 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.http://www.degruyter.com/view/j/itms.2016.19.issue-1/itms-2016-0010/itms-2016-0010.xml?format=INTClassificationdata pre-processingmulti-layer neural networkssports performance
spellingShingle Namatēvs Ivars
Aleksejeva Ludmila
Poļaka Inese
Neural Network Modelling for Sports Performance Classification as a Complex Socio-Technical System
Information Technology and Management Science
Classification
data pre-processing
multi-layer neural networks
sports performance
title Neural Network Modelling for Sports Performance Classification as a Complex Socio-Technical System
title_full Neural Network Modelling for Sports Performance Classification as a Complex Socio-Technical System
title_fullStr Neural Network Modelling for Sports Performance Classification as a Complex Socio-Technical System
title_full_unstemmed Neural Network Modelling for Sports Performance Classification as a Complex Socio-Technical System
title_short Neural Network Modelling for Sports Performance Classification as a Complex Socio-Technical System
title_sort neural network modelling for sports performance classification as a complex socio technical system
topic Classification
data pre-processing
multi-layer neural networks
sports performance
url http://www.degruyter.com/view/j/itms.2016.19.issue-1/itms-2016-0010/itms-2016-0010.xml?format=INT
work_keys_str_mv AT namatevsivars neuralnetworkmodellingforsportsperformanceclassificationasacomplexsociotechnicalsystem
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AT polakainese neuralnetworkmodellingforsportsperformanceclassificationasacomplexsociotechnicalsystem