Advertisement

Sports Game Management Method Based on Intelligent Computer Computing

  • Minglai ShenEmail author
Conference paper
  • 17 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1146)

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.

Keywords

Intelligent machine computing Sports competitions Artificial intelligence Competition management methods 

References

  1. 1.
    Hassabis, D., Kumaran, D., Summerfield, C.: Neuroscience-inspired artificial intelligence. Neuron 95(2), 245–258 (2017)CrossRefGoogle Scholar
  2. 2.
    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)CrossRefGoogle Scholar
  3. 3.
    Hutson, M.: Artificial intelligence faces reproducibility crisis. Science 359(6377), 725–726 (2018)CrossRefGoogle Scholar
  4. 4.
    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)CrossRefGoogle Scholar
  5. 5.
    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)CrossRefGoogle Scholar
  6. 6.
    Budzinski, O., Szymanski, S.: Are restrictions of competition by sports associations horizontal or vertical in nature? Ilmenau Econ. Discuss. Pap. 11(2), 409 (2015)Google Scholar
  7. 7.
    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)CrossRefGoogle Scholar
  8. 8.
    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)zbMATHGoogle Scholar
  9. 9.
    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)CrossRefGoogle Scholar
  10. 10.
    Hinton-Bayre, A.D.: Normative versus baseline paradigms for detecting neuropsychological impairment following sports-related concussion. Brain Impair. 16(2), 80–89 (2015)CrossRefGoogle Scholar
  11. 11.
    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)CrossRefGoogle Scholar
  12. 12.
    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)Google Scholar
  13. 13.
    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)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Jilin Engineering Normal UniversityChangchunChina

Personalised recommendations