Rabiu Muazu, Musa and Anwar, P. P. Abdul Majeed and Norlaila Azura, Kosni and Mohamad Razali, Abdullah (2020) Technical and tactical performance indicators determining successful and unsuccessful team in elite beach soccer. In: Machine Learning in Team Sports: Performance Analysis and Talent Identification in Beach Soccer & Sepak-takraw. SpringerBriefs in Applied Sciences and Technology . Springer, Singapore, pp. 21-28. ISBN 978-981-15-3218-4
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Abstract
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.
| Item Type: | Book Chapter |
|---|---|
| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | Beaches; Benchmarking; Classification (of information); Neural networks; Statistical tests |
| Subjects: | G Geography. Anthropology. Recreation > GV Recreation Leisure T Technology > TJ Mechanical engineering and machinery |
| Faculty/Division: | Faculty of Manufacturing and Mechatronic Engineering Technology |
| Depositing User: | Pn. Hazlinda Abd Rahman |
| Date Deposited: | 09 Jan 2026 02:50 |
| Last Modified: | 09 Jan 2026 02:50 |
| URI: | https://umpir.ump.edu.my/id/eprint/30145 |
| Statistic Details: | View Download Statistic |

