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在广东省H矿区使用PCA和BPNN进行坡度稳定的安全预测因子

Yangfan Jing1,2, Yuefeng Li3, Jian Chang1,2

  • 1State key Laboratory of Metal Mine Mining Safety and Disaster Prevention and Control, Sinosteel Maanshan General Institute of Mining Research Co., Ltd, Xitang Road 666, Maanshan, 243000, China.

Scientific reports
|April 14, 2025
PubMed
概括

本研究引入了一种新的主要组件分析 (PCA) 与反向传播神经网络 (BPNN) 方法,用于预测地质工程中的安全因子 (FOS). PCA-BPNN方法显著提高了坡度稳定性评估,比现有的机器学习技术提供了更高的准确性.

关键词:
反向传播的神经网络.工程应用工程应用程序安全的安全因素.主要组件分析的主要组件分析.

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