Abstract
With the development of social science and technology, the popularization rate of artificial intelligence is getting higher and higher. People apply artificial intelligence to all aspects of life and provide convenience for people’s lives. The management of sports competitions is an important part of sports competitions. It is necessary to ensure the quality of sports competitions on the principles of fairness, impartiality, and openness, to ensure the discipline of the competition, to maintain the order of the stadium, and the safety and security of traditional sports competition performance management systems. The management results are relatively unreliable and require more human resources. Therefore, this paper proposes a method for managing sports games based on intelligent machine calculations, and uses this method to design a management system. The system uses a network platform to transmit data. By analyzing user needs and functional requirements, the network platform is designed to implement data transmission between the system and the client, and the system is tested. The research results show that this paper is designed based on the intelligent computer computing method of sports competition management. The system results management results are reliable and the system performance is strong.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Hassabis, D., Kumaran, D., Summerfield, C.: Neuroscience-inspired artificial intelligence. Neuron 95(2), 245–258 (2017)
De Raedt, L., Kersting, K., Natarajan, S.: Statistical relational artificial intelligence: logic, probability, and computation. Synth. Lect. Artif. Intell. Mach. Learn. 10(2), 1–189 (2016)
Hutson, M.: Artificial intelligence faces reproducibility crisis. Science 359(6377), 725–726 (2018)
Comeig, I., Grau-Grau, A., Jaramillo-Gutiérrez, A., et al.: Gender, self-confidence, sports, and preferences for competition. J. Bus. Res. 2015(69), 1418–1422 (2016)
Dehghani, M., Saf, A.D., Vosoughi, A.: Effectiveness of the mindfulness-acceptance-commitment-based approach on athletic performance and sports competition anxiety: a randomized clinical trial. Electron. Physician 10(5), 6749–6755 (2018)
Budzinski, O., Szymanski, S.: Are restrictions of competition by sports associations horizontal or vertical in nature? Ilmenau Econ. Discuss. Pap. 11(2), 409 (2015)
Guang, L., Zhou, X., Li, S.: Statistical analysis-based Chinese sports industry listed companies competition factor and strategic performance. J. Comput. Theor. Nanosci. 13(12), 10209–10213 (2016)
Wang, K.-F., Gou, C., Wang, F.-Y.: Parallel vision: an ACP-based approach to intelligent vision computing. Acta Automatica Sin. 42(10), 1490–1500 (2016)
Li, X., Geng, J., Zhang, Q.: Relative position fitting based control strategy for thruster point assembly mechanism of electric propulsion. Int. J. Intell. Comput. Cybern. 9(1), 69–82 (2016)
Hinton-Bayre, A.D.: Normative versus baseline paradigms for detecting neuropsychological impairment following sports-related concussion. Brain Impair. 16(2), 80–89 (2015)
Höffler, T.N., Bonin, V., Parchmann, I.: Science vs. sports: motivation and self-concepts of participants in different school competitions. Int. J. Sci. Math. Educ. 15(5), 817–836 (2017)
Satapathy, S.C., Govardhan, A., Raju, K.S.: Emerging ICT for Bridging the Future - Proceedings of the 49th Annual Convention of the Computer Society of India CSI, vol. 2. Advances in Intelligent Systems and Computing, vol. 106, no. 9, pp. 1301–1302 (2015)
Weerakoon, R.K.: Human resource management in sports: a critical review of its importance and pertaining issues. Phys. Cult. Sport Stud. Res. 69(1), 15–21 (2016)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Shen, M. (2020). Sports Game Management Method Based on Intelligent Computer Computing. In: Xu, Z., Parizi, R., Hammoudeh, M., Loyola-González, O. (eds) Cyber Security Intelligence and Analytics. CSIA 2020. Advances in Intelligent Systems and Computing, vol 1146. Springer, Cham. https://doi.org/10.1007/978-3-030-43306-2_109
Download citation
DOI: https://doi.org/10.1007/978-3-030-43306-2_109
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-43305-5
Online ISBN: 978-3-030-43306-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)