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March 14, 2026

Neural network analysis of muscle strength characteristics of men’s volleyball players

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Authors

RHRongxun HuLMLingqi Meng

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Overview

Analysis identifies muscle strength characteristics in men’s volleyball players, suggesting targeted training for improvement.

Key Points

  • This research aims to analyze the muscle strength characteristics of knee and ankle joints in men’s volleyball players using a neural network model.
  • Measured muscle strength of knee and ankle joints at constant speed
  • Applied a Radial Basis Function (RBF) neural network model for prediction
  • Compared the RBF model's performance with BP and Elman neural networks
  • RBF network accurately predicts variations in muscle strength related to joint flexor groups
  • Competition requires high relative peak torque in knee and ankle muscles
  • Identified athletes with low relative peak torque who need targeted strength training

Cite This Study

Hu et al. (2026) studied this question.

synapsesocial.com/papers/69b4fc33b39f7826a300cf1fhttps://doi.org/10.1051/itmconf/20268301002/pdf
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