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Predictive Modeling in Race Walking
This paper presents the use of linear and nonlinear multivariable models as tools to support training process of race walkers. These models are calculated using data collected from race walkers' training events and they are used to predict the result over a 3 km race based on training loads. Th...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4539209/ https://www.ncbi.nlm.nih.gov/pubmed/26339230 http://dx.doi.org/10.1155/2015/735060 |
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author | Wiktorowicz, Krzysztof Przednowek, Krzysztof Lassota, Lesław Krzeszowski, Tomasz |
author_facet | Wiktorowicz, Krzysztof Przednowek, Krzysztof Lassota, Lesław Krzeszowski, Tomasz |
author_sort | Wiktorowicz, Krzysztof |
collection | PubMed |
description | This paper presents the use of linear and nonlinear multivariable models as tools to support training process of race walkers. These models are calculated using data collected from race walkers' training events and they are used to predict the result over a 3 km race based on training loads. The material consists of 122 training plans for 21 athletes. In order to choose the best model leave-one-out cross-validation method is used. The main contribution of the paper is to propose the nonlinear modifications for linear models in order to achieve smaller prediction error. It is shown that the best model is a modified LASSO regression with quadratic terms in the nonlinear part. This model has the smallest prediction error and simplified structure by eliminating some of the predictors. |
format | Online Article Text |
id | pubmed-4539209 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-45392092015-09-03 Predictive Modeling in Race Walking Wiktorowicz, Krzysztof Przednowek, Krzysztof Lassota, Lesław Krzeszowski, Tomasz Comput Intell Neurosci Research Article This paper presents the use of linear and nonlinear multivariable models as tools to support training process of race walkers. These models are calculated using data collected from race walkers' training events and they are used to predict the result over a 3 km race based on training loads. The material consists of 122 training plans for 21 athletes. In order to choose the best model leave-one-out cross-validation method is used. The main contribution of the paper is to propose the nonlinear modifications for linear models in order to achieve smaller prediction error. It is shown that the best model is a modified LASSO regression with quadratic terms in the nonlinear part. This model has the smallest prediction error and simplified structure by eliminating some of the predictors. Hindawi Publishing Corporation 2015 2015-08-03 /pmc/articles/PMC4539209/ /pubmed/26339230 http://dx.doi.org/10.1155/2015/735060 Text en Copyright © 2015 Krzysztof Wiktorowicz et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Wiktorowicz, Krzysztof Przednowek, Krzysztof Lassota, Lesław Krzeszowski, Tomasz Predictive Modeling in Race Walking |
title | Predictive Modeling in Race Walking |
title_full | Predictive Modeling in Race Walking |
title_fullStr | Predictive Modeling in Race Walking |
title_full_unstemmed | Predictive Modeling in Race Walking |
title_short | Predictive Modeling in Race Walking |
title_sort | predictive modeling in race walking |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4539209/ https://www.ncbi.nlm.nih.gov/pubmed/26339230 http://dx.doi.org/10.1155/2015/735060 |
work_keys_str_mv | AT wiktorowiczkrzysztof predictivemodelinginracewalking AT przednowekkrzysztof predictivemodelinginracewalking AT lassotalesław predictivemodelinginracewalking AT krzeszowskitomasz predictivemodelinginracewalking |