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

Publication Type Publication (anonimusly reviewed) in a journal with an international editorial board indexed in other databases
Funding for basic activity Unknown
Defending: ,
Publication language English (en)
Title in original language Neural Network Modelling for Sports Performance Classification as a Complex Socio-Technical System
Field of research 2. Engineering and technology
Sub-field of research 2.2 Electrical engineering, Electronic engineering, Information and communication engineering
Authors Ivars Namatēvs
Ludmila Aleksejeva
Inese Poļaka
Keywords Classification, data pre-processing, multi-layer neural networks, sports performance.
Abstract 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.
DOI: 10.1515/itms-2016-0010
Reference Namatēvs, I., Aleksejeva, L., Poļaka, I. Neural Network Modelling for Sports Performance Classification as a Complex Socio-Technical System. Information Technology and Management Science, 2016, Vol.19, pp.45-52. ISSN 2255-9086. e-ISSN 2255-9094. Available from: doi:10.1515/itms-2016-0010
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