Strike Velocity Prediction of Stick Blunt Instruments Based on Backpropagation Neural Network.

Journal: Fa yi xue za zhi
PMID: 36727171

Abstract

OBJECTIVES: To analyze and predict the striking velocity range of stick blunt instruments in different populations, and to provide basic data for the biomechanical analysis of blunt force injuries in forensic identification.

Authors

  • Hai-Yan Li
    Institute of Information on Traditional Chinese Medicine, China Academy of Chinese Medical Sciences.
  • Hai-Fang Li
    International Research Association on Emerging Automotive Safety Technology, Tianjin University of Science and Technology, Tianjin 300222, China.
  • Jian-Yu Pan
    International Research Association on Emerging Automotive Safety Technology, Tianjin University of Science and Technology, Tianjin 300222, China.
  • Shi-Hai Cui
    International Research Association on Emerging Automotive Safety Technology, Tianjin University of Science and Technology, Tianjin 300222, China.
  • Guang-Long He
    Institute of Forensic Science, Ministry of Public Security, Beijing 100038, China.
  • Li-Juan He
    International Research Association on Emerging Automotive Safety Technology, Tianjin University of Science and Technology, Tianjin 300222, China.
  • Wen-le Lü
    International Research Association on Emerging Automotive Safety Technology, Tianjin University of Science and Technology, Tianjin 300222, China.

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