Technical and tactical performance indicators determining successful and unsuccessful team in elite beach soccer
The success of a given elite beach soccer team is identified through a number of technical and tactical performance indicators in this chapter. The demarcation of the winning and losing team was determined through the use of the Louvain clustering technique. Subsequently, a number of artificial ne...
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my-unisza-ir.47192022-01-17T03:37:17Z http://eprints.unisza.edu.my/4719/ Technical and tactical performance indicators determining successful and unsuccessful team in elite beach soccer Abdullah, Prof. Madya Dr. Mohamad Razali T Technology (General) The success of a given elite beach soccer team is identified through a number of technical and tactical performance indicators in this chapter. The demarcation of the winning and losing team was determined through the use of the Louvain clustering technique. Subsequently, a number of artificial neural network (ANN) models were developed by varying different hyperparameters in evaluating its ability to accurately ascertaining the class of a team. It was shown from the study that through the framework provided, the best ANN architecture, as well as performance indicators identified, could yield an average classification accuracy of 92.5% on the validation and test dataset. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2020 Springer 2020 Book Section NonPeerReviewed text en http://eprints.unisza.edu.my/4719/1/FH05-ESERI-21-51623.pdf Abdullah, Prof. Madya Dr. Mohamad Razali (2020) Technical and tactical performance indicators determining successful and unsuccessful team in elite beach soccer. In: SpringerBriefs in Applied Sciences and Technology. Springer, pp. 21-28. ISBN 2191530X |
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T Technology (General) Abdullah, Prof. Madya Dr. Mohamad Razali Technical and tactical performance indicators determining successful and unsuccessful team in elite beach soccer |
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The success of a given elite beach soccer team is identified through a number of technical and tactical performance
indicators in this chapter. The demarcation of the winning and losing team was determined through the use of the
Louvain clustering technique. Subsequently, a number of artificial neural network (ANN) models were developed by
varying different hyperparameters in evaluating its ability to accurately ascertaining the class of a team. It was shown
from the study that through the framework provided, the best ANN architecture, as well as performance indicators
identified, could yield an average classification accuracy of 92.5% on the validation and test dataset. © The Author(s),
under exclusive license to Springer Nature Singapore Pte Ltd. 2020 |
format |
Book Section |
author |
Abdullah, Prof. Madya Dr. Mohamad Razali |
author_facet |
Abdullah, Prof. Madya Dr. Mohamad Razali |
author_sort |
Abdullah, Prof. Madya Dr. Mohamad Razali |
title |
Technical and tactical performance indicators determining successful and unsuccessful team in elite beach soccer |
title_short |
Technical and tactical performance indicators determining successful and unsuccessful team in elite beach soccer |
title_full |
Technical and tactical performance indicators determining successful and unsuccessful team in elite beach soccer |
title_fullStr |
Technical and tactical performance indicators determining successful and unsuccessful team in elite beach soccer |
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Technical and tactical performance indicators determining successful and unsuccessful team in elite beach soccer |
title_sort |
technical and tactical performance indicators determining successful and unsuccessful team in elite beach soccer |
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Springer |
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2020 |
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http://eprints.unisza.edu.my/4719/1/FH05-ESERI-21-51623.pdf http://eprints.unisza.edu.my/4719/ |
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