Analysis on the construction of sports match prediction model using neural network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
http://link.springer.com/content/pdf/10.1007/s00500-020-04823-w.pdf
Reference33 articles.
1. An J, Yang Q, Huang H (2017) Research on the prediction of sports industry structure in China based on grey system theory. J Tianjin Phys Educ Inst 32(149):43–47
2. Armenteros JJA, Tsirigos KD, Sønderby CK et al (2019) SignalP 5.0 improves signal peptide predictions using deep neural networks. Nat Biotechnol 37(4):420
3. Bruce JM, Echemendia RJ, Meeuwisse W et al (2018) Development of a risk prediction model among professional hockey players with visible signs of concussion. Br J Sports Med 52(17):1143–1148
4. Carey DL, Ong K, Whiteley R et al (2018) Predictive modelling of training loads and injury in Australian football. Int J Comput Sci Sport 17(1):49–66
5. Chalmers S, Debenedictis TA, Zacharia A et al (2018) Asymmetry during Functional Movement Screening and injury risk in junior football players: a replication study. Scand J Med Sci Sports 28(3):1281–1287
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