Prediction of team league's rankings in volleyball by artificial neural network method

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dc.contributor.authorTuemer, Abdullah Erdal
dc.contributor.authorKocer, Sabri
dc.date.accessioned2024-02-23T14:20:45Z
dc.date.available2024-02-23T14:20:45Z
dc.date.issued2017
dc.departmentNEÜen_US
dc.description.abstractIn this study, an Artificial Neural Network (ANN) model that can predict future team rankings in male volleyball professional league was developed. Data used to develop the ANN model were obtained from 2013 to 2015 league tables. Wins, defeats, home wins, and away wins were used as input parameters and team rankings as an output parameter. There are only a few studies about predicting the match results using the ANN method. Related studies are mostly based on football, basketball and bowl games. There are no studies researching the prediction of team league's rankings in volleyball. This is the first study about team ranking prediction in volleyball by the means of the ANN. The results showed that the most optimal ANN method was a single hidden layer 4-neurone model which had logsig transfer function, trainlm training function, and learngmd adaptive learning function. The accuracy rate of the most optimal model was 98%, meaning that team standing in a league table can be forecasted accurately using this ANN model.en_US
dc.identifier.doi10.1080/24748668.2017.1331570
dc.identifier.endpage211en_US
dc.identifier.issn2474-8668
dc.identifier.issn1474-8185
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-85027731218en_US
dc.identifier.startpage202en_US
dc.identifier.urihttps://doi.org/10.1080/24748668.2017.1331570
dc.identifier.urihttps://hdl.handle.net/20.500.12452/13293
dc.identifier.volume17en_US
dc.identifier.wosWOS:000405313800002en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherRoutledge Journals, Taylor & Francis Ltden_US
dc.relation.ispartofInternational Journal Of Performance Analysis In Sporten_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArtificial Neural Networken_US
dc.subjectRankingen_US
dc.subjectPredictionen_US
dc.subjectVolleyball Leagueen_US
dc.titlePrediction of team league's rankings in volleyball by artificial neural network methoden_US
dc.typeArticleen_US

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