Rockburst grade evaluation and parameter sensitivity analysis based on SSA-PNN framework: Considering rock mass

Xiaoyan Zhou1, Yimin Jiang1, Zhenyi Wang1

  • 1School of Architectural Engineering, Zhengzhou University of Industrial Technology, Zhengzhou, China.

Plos One
|June 24, 2025
PubMed
Summary

Rockburst prediction accuracy is enhanced using a Sparrow Search Algorithm (SSA) and Probabilistic Neural Network (PNN) model. This framework effectively evaluates rockburst grades by analyzing key rock mass parameters for tunnel safety.

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