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Updated: Jun 28, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
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使用各种机器学习方法和传统模型,预测大型钻井在地下矿山的透率

Sasan Heydari1, Seyed Hadi Hoseinie2, Raheb Bagherpour1

  • 1Department of Mining Engineering, Isfahan University of Technology, Isfahan, 84156-83111, Iran.

Scientific reports
|April 18, 2024
PubMed
概括

准确预测巨型钻孔透率 (ROP) 是高效地下采矿的关键. 机器学习模型,特别是支持向量回归 (SVR),在使用操作和岩石质量数据估计ROP时显示出高准确性.

关键词:
多层感知神经网络 (MLP) 是一种多层感知神经网络.透率预测的预测随机森林 (RF) 是一个随机的森林.支持向量的回归 (SVR)岩石质量钻孔能力指数 (RDi)传统的模型是传统的模型.

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