相关实验视频

Updated: Jun 27, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

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在露天采矿中预测PPV的研究使用了RUN-XGBoost模型

Mingzhi Sun1,2, Jiamian Yang1,2, Chengye Yang3

  • 1State Key Laboratory of Safety and Health for Metal Mines, Sinosteel Maanshan General Institute of Mining Research Co., Ltd., Maanshan, 243000, China.

Heliyon
|May 1, 2024
PubMed
概括

一个新的RUN-XGBoost模型准确地预测了在露天采矿中爆炸振动产生的峰值粒子速度 (PPV). 这种先进的模型优于传统方法,为优化采矿设计和确保安全提供了可靠的工具.

关键词:
爆破工程 爆破工程 爆破工程机器学习 机器学习开放式矿山的开放式矿山.这是一个PPVPPV.在XGBoost上使用.

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