The Estimation of the Set Results in 2016/2017 Vestel Venus Sultans League Games by Artificial Neural Network

The objective of this study is to estimate the set result via Artificial Neural Network (ANN) by considering the scores of the volleyball teams at technical time-outs (8th and 16th points) and 21st point. In the study, 132 games, 984 sets and 4152 points that were played and scored during a season...

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Autores principales:	Hasan Aka, Zait Burak AKTUĞ, Semih ÖZDEN, Cengiz AKARÇEŞME
Formato:	article
Lenguaje:	EN
Publicado:	Asociación Española de Ciencias del Deporte 2021
Materias:	artificial neural network estimation volleyball Sports GV557-1198.995 Sports medicine RC1200-1245
Acceso en línea:	https://doaj.org/article/90be7b5f379e4c789ebd8a1df3761bcd
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id	oai:doaj.org-article:90be7b5f379e4c789ebd8a1df3761bcd
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spelling	oai:doaj.org-article:90be7b5f379e4c789ebd8a1df3761bcd2021-11-17T15:40:20ZThe Estimation of the Set Results in 2016/2017 Vestel Venus Sultans League Games by Artificial Neural Network2386-4095https://doaj.org/article/90be7b5f379e4c789ebd8a1df3761bcd2021-11-01T00:00:00Zhttp://www.eurjhm.com/index.php/eurjhm/article/view/605https://doaj.org/toc/2386-4095 The objective of this study is to estimate the set result via Artificial Neural Network (ANN) by considering the scores of the volleyball teams at technical time-outs (8th and 16th points) and 21st point. In the study, 132 games, 984 sets and 4152 points that were played and scored during a season by 12 teams playing in 2016/2017 Vestel Venus Sultans League were examined separately. 85% of all sets that teams played in one season were randomly reserved for training and 15% for test. Verbally winning or losing was modeled as 0 (zero) or 1 (one) numerically. Since the produced value was between the ranges of 0 – 1, for a trained network, it was multiplied with 100 and thus the possibility of winning was obtained. Consequently, it was determined that the developed model estimated the set result for many teams (test dataset) with an accuracy rate over 95%. By means of competition analysis to be made using ANN model in volleyball, it is thought that technical officers can reach fast and accurate conclusions at the moment of the set is played. It can be said that these conclusions will provide technical officers with a warning mechanism to take necessary technical and tactical measures while the set is being played. Hasan AkaZait Burak AKTUĞSemih ÖZDENCengiz AKARÇEŞMEAsociación Española de Ciencias del Deportearticleartificial neural networkestimationvolleyballSportsGV557-1198.995Sports medicineRC1200-1245ENEuropean Journal of Human Movement (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	artificial neural network estimation volleyball Sports GV557-1198.995 Sports medicine RC1200-1245
spellingShingle	artificial neural network estimation volleyball Sports GV557-1198.995 Sports medicine RC1200-1245 Hasan Aka Zait Burak AKTUĞ Semih ÖZDEN Cengiz AKARÇEŞME The Estimation of the Set Results in 2016/2017 Vestel Venus Sultans League Games by Artificial Neural Network
description	The objective of this study is to estimate the set result via Artificial Neural Network (ANN) by considering the scores of the volleyball teams at technical time-outs (8th and 16th points) and 21st point. In the study, 132 games, 984 sets and 4152 points that were played and scored during a season by 12 teams playing in 2016/2017 Vestel Venus Sultans League were examined separately. 85% of all sets that teams played in one season were randomly reserved for training and 15% for test. Verbally winning or losing was modeled as 0 (zero) or 1 (one) numerically. Since the produced value was between the ranges of 0 – 1, for a trained network, it was multiplied with 100 and thus the possibility of winning was obtained. Consequently, it was determined that the developed model estimated the set result for many teams (test dataset) with an accuracy rate over 95%. By means of competition analysis to be made using ANN model in volleyball, it is thought that technical officers can reach fast and accurate conclusions at the moment of the set is played. It can be said that these conclusions will provide technical officers with a warning mechanism to take necessary technical and tactical measures while the set is being played.
format	article
author	Hasan Aka Zait Burak AKTUĞ Semih ÖZDEN Cengiz AKARÇEŞME
author_facet	Hasan Aka Zait Burak AKTUĞ Semih ÖZDEN Cengiz AKARÇEŞME
author_sort	Hasan Aka
title	The Estimation of the Set Results in 2016/2017 Vestel Venus Sultans League Games by Artificial Neural Network
title_short	The Estimation of the Set Results in 2016/2017 Vestel Venus Sultans League Games by Artificial Neural Network
title_full	The Estimation of the Set Results in 2016/2017 Vestel Venus Sultans League Games by Artificial Neural Network
title_fullStr	The Estimation of the Set Results in 2016/2017 Vestel Venus Sultans League Games by Artificial Neural Network
title_full_unstemmed	The Estimation of the Set Results in 2016/2017 Vestel Venus Sultans League Games by Artificial Neural Network
title_sort	estimation of the set results in 2016/2017 vestel venus sultans league games by artificial neural network
publisher	Asociación Española de Ciencias del Deporte
publishDate	2021
url	https://doaj.org/article/90be7b5f379e4c789ebd8a1df3761bcd
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The Estimation of the Set Results in 2016/2017 Vestel Venus Sultans League Games by Artificial Neural Network

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