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一个具有水平和垂直交叉的增强RIME优化器,用于在深矿区区分微震和爆炸信号

Wei Zhu¹, Zhihui Li¹, Ali Asghar Heidari²

¹School of Resources and Safety Engineering, Central South University, Changsha 410083, China.

Sensors (Basel, Switzerland)

|November 14, 2023

概括

本研究介绍了一种新的算法 (CCRIME) 和其二进制变体 (BCCRIME),用于优化采矿中的岩石稳定性监测. BCCRIME-FKNN模型有效地使用现实世界的数据预测岩石质量的稳定性.

科学领域:

采矿工程采矿工程采矿工程
计算智能是一种计算智能.
地质技术工程地质技术工程

背景情况:

实时监测岩石稳定性对于安全高效的采矿操作至关重要.
现有的算法可能需要增强,以改善复杂的采矿环境中的解决方案质量和搜索功能.

研究的目的:

开发和验证用于实时岩石稳定性监测的增强优化算法.
使用拟议的算法优化分类模型的参数.
评估模型在基准函数和现实世界采矿数据上的表现.

主要方法:

提出了一个交叉RIME (CCRIME) 算法,并增强了搜索策略.
开发了一个二进制版本 (BCCRIME) 用于通过二进制转换进行参数优化.
在 BCCRIME 中使用一个 S 形函数来选择功能.
使用BCCRIME.优化了模糊K-最近邻居 (FKNN) 参数.
使用IEEE CEC2017基准函数和真实微地震/喷气数据验证的性能.

主要成果:

CCRIME算法证明了解决方案质量和搜索能力的提高.
BCCRIME-FKNN模型在真实采矿数据上实现了有效的分类预测.
对比实验证实了拟议的算法的有效性,而不是基本方法和变体方法.

结论:

BCCRIME-FKNN模型提供了一个强大的解决方案,用于实时监测深井采矿中的岩石质量稳定性.
开发的算法为地质技术和采矿应用提供了新的计算方法.
这项研究通过先进的数据分析,有助于提高安全性和资源提取.

关键词:

在RIME中,你会发现RIME.炸弹爆炸是什么意思功能选择功能选择机器学习是机器学习.它具有微观地震性的作用.群众情报是一个群众情报.

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