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对岩石爆发强度预测的AdaBoost模型考虑了类别差异和错误分类差异的定量表征
Yunzhen Zhang1, Guangquan Zhang2,3, Tengda Huang1
1School of Resource and Environmental Engineering, Wuhan University of Science and Technology, Wuhan, 430081, Hubei, China.
Scientific reports
|November 15, 2024
概括
这项研究使用改进的AdaBoost模型提高了岩石爆炸预测的准确性. 新方法显著降低了错误分类的严重性,为地下资源开发提供了更安全的方法.
科学领域:
- 地质技术工程 地质技术工程
- 采矿工程 采矿工程 采矿工程
- 计算科学 计算科学
背景情况:
- 岩石喷发是地下深处资源开发中的常见和危险现象.
- 准确预测岩石爆炸强度对于安全和运营连续性至关重要.
研究的目的:
- 探索与不同岩石爆裂强度相关的岩石机械和应力参数.
- 开发一个改进的AdaBoost模型,以便更准确地预测岩石爆炸.
- 引入一种优化模型超参数和量化错误分类严重性的方法.
主要方法:
- 在各种岩石爆发强度的岩石机械和应力参数的探索.
- 开发一个包含层次差异的AdaBoost分类模型.
- 快速登山方法的应用,用于超参数优化.
- 用于定量评估的误分差指数 (MCDI) 的定义.
主要成果:
- 改进的AdaBoost模型比标准的AdaBoost模型准确度大约高出2.3%.
- 改进模型的错误分类差异指数 (MCDI) 为0.0,而标准模型为0.5,表明错误分类严重程度显著降低.
- 优化的模型显示了对岩石爆发事件的增强预测能力.
结论:
- 开发的改进的AdaBoost模型在预测岩石爆炸强度方面提供了更高的准确性和更少的错误分类.
- 拟议的MCDI为评估预测错误的严重性提供了一个有价值的指标.
- 这项研究为改善地下工程项目的岩石爆破预测提供了理论参考.
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