首页|基于深度学习的劈裂注浆监测技术优化方案分析

基于深度学习的劈裂注浆监测技术优化方案分析

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阐述基于深度学习的劈裂注浆监测技术,并提出相应的优化方案.通过深度学习模型的引入与改进,探讨提高劈裂注浆监测精确性和效率的方法.实验结果表明,该技术在矿山工程领域应用的有效性.
Analysis of Optimization Scheme for Split Grouting Monitoring Technology Based on Deep Learning
This paper expounds the monitoring technology of split grouting based on deep learning and proposes corresponding optimization schemes.Through the introduction and improvement of deep learning models,it explores the improvement of the accuracy and efficiency of split grouting monitoring.The experimental results indicate the effectiveness of this technology in the field of mining engineering.

deep learningsplitting groutingmonitoring technology

张帆

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辽宁省沈阳市康平县小康煤矿,辽宁 110500

深度学习 劈裂注浆 监测技术

2024

集成电路应用
上海贝岭股份有限公司

集成电路应用

影响因子:0.132
ISSN:1674-2583
年,卷(期):2024.41(5)