中文体育类核心期刊

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Volume 42 Issue 6
Nov.  2018
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JI Yunfeng, HUANG Rui, SHI Zhihao, REN Jie. Artificial Neural Network Model for the Data of Precise Rotation, Velocity and Placement in Table Tennis[J]. Journal of Shanghai University of Sport, 2018, 42(6): 98-103. DOI: 10.16099/j.sus.2018.06.014
Citation: JI Yunfeng, HUANG Rui, SHI Zhihao, REN Jie. Artificial Neural Network Model for the Data of Precise Rotation, Velocity and Placement in Table Tennis[J]. Journal of Shanghai University of Sport, 2018, 42(6): 98-103. DOI: 10.16099/j.sus.2018.06.014
shu

Artificial Neural Network Model for the Data of Precise Rotation, Velocity and Placement in Table Tennis

  • 1.

    China Table Tennis College, Shanghai University of Sport, Shanghai 200438, China

  • 2.

    Institute of Artificial Intelligence, Shanghai University of Technology and Engineering, Shanghai 200093, China

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  • Received Date: June 21, 2017
  • Revised Date: August 27, 2017
  • Publish Date: November 29, 2018
  • Issue Publish Date: November 29, 2018
    Graphical Abstract
    • Abstract
  • Rotation being the secret to success in table tennis, the trajectory prediction research hence should take the rotation into consideration. This study designed experiment to obtain the precise initial position coordinates, initial velocity and direction, rotating speed and direction. These nine initial data were taken as the input information of neural network and the precise placement coordinates as the output information. The correlation between input and output information is discussed by using artificial neural network algorithm thereafter. The experimental results show that the initial speed, rotation and coordinate with the ball placement coordinates are correlated.
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    • References (18)
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