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International Journal of Performance Analysis in Sport Volume 17, 2017 - Issue 3
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Research Articles

The prediction of action positions in team handball by non-linear hybrid neural networks

Amr HassanInstitute of Sport Science, University Graz, Graz, Austria;Department of Sports Training, Faculty of Sports Education, Mansoura University, Mansoura, EgyptCorrespondence[email protected]
[email protected]
ORCID Iconhttp://orcid.org/0000-0002-2053-7644
ORCID Icon,
Norbert SchrapfInstitute of Sport Science, University Graz, Graz, AustriaORCID Iconhttp://orcid.org/0000-0003-2983-4589
ORCID Icon &
Markus TilpInstitute of Sport Science, University Graz, Graz, AustriaORCID Iconhttp://orcid.org/0000-0002-6644-2712
ORCID Icon
Pages 293-302 | Received 09 Mar 2017, Accepted 28 May 2017, Published online: 12 Jun 2017

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Ilker Ali Ozkan. (2020) A Novel Basketball Result Prediction Model Using a Concurrent Neuro-Fuzzy System. Applied Artificial Intelligence 34:13, pages 1038-1054.
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Articles from other publishers (8)

David Brinkjans, Daniel Memmert, Jonas Imkamp & Jürgen Perl. (2022) Success-Score in Professional Soccer – Validation of a Dynamic Key Performance Indicator Combining Space Control and Ball Control within Goalscoring Opportunities. International Journal of Computer Science in Sport 21:2, pages 32-42.
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Jian Li, Meiyue Li & Hao Lin. (2022) Analysis of developments and hotspots of international research on sports AI. Journal of Intelligent & Fuzzy Systems 43:4, pages 4227-4241.
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N. Schrapf, A. Hassan, S. Wiesmeyr & M. Tilp. (2022) An Artificial Neural Network Predicts Setter's Setting Behavior in Volleyball Similar or Better than Experts. IFAC-PapersOnLine 55:20, pages 612-617.
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Jianhua Zhang. (2021) Clustering and Evolution of Artificial Intelligence Technology in International Sports. Clustering and Evolution of Artificial Intelligence Technology in International Sports.
Feng Guo & Qingcheng Huang. (2021) Signal Recognition Based on APSO-RBF Neural Network to Assist Athlete’s Competitive Ability Evaluation. Computational Intelligence and Neuroscience 2021, pages 1-12.
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Sebastian Wenninger, Daniel Link & Martin Lames. (2020) Performance of machine learning models in application to beach volleyball data.. International Journal of Computer Science in Sport 19:1, pages 24-36.
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Amr Hassan, Abdel-Rahman Akl, Ibrahim Hassan & Caroline Sunderland. (2020) Predicting Wins, Losses and Attributes’ Sensitivities in the Soccer World Cup 2018 Using Neural Network Analysis. Sensors 20:11, pages 3213.
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João Gustavo Claudino, Daniel de Oliveira Capanema, Thiago Vieira de Souza, Julio Cerca Serrão, Adriano C. Machado Pereira & George P. Nassis. (2019) Current Approaches to the Use of Artificial Intelligence for Injury Risk Assessment and Performance Prediction in Team Sports: a Systematic Review. Sports Medicine - Open 5:1.
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