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Using BP neural network function mapping method, combined with the gray system model, the physical health test data of 1500 college students in Wuhan Vocational College of Software Engineering in 2019 were selected to build the intelligent scoring system of college students physical health, and then 350 student test data were selected to test the accuracy of the model. The calculation results show that the model is more accurate than the traditional method of weight coefficient weighted summing, and this method provides a new idea for the physical healthy individual score and group physical condition evaluation of college students.

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The Neural Network of College Students Research on the Intelligent Scoring System

  • 会议论文

  • 发表日期：

    2025年

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  • Yang Ji,
  • Huang Shen

摘要

Using BP neural network function mapping method, combined with the gray system model, the physical health test data of 1500 college students in Wuhan Vocational College of Software Engineering in 2019 were selected to build the intelligent scoring system of college students physical health, and then 350 student test data were selected to test the accuracy of the model. The calculation results show that the model is more accurate than the traditional method of weight coefficient weighted summing, and this method provides a new idea for the physical healthy individual score and group physical condition evaluation of college students.