Central South University Reports Findings in Machine Learning (Research on predi ction of PPV in open pit mine used on intelligent hybrid model of extreme gradie nt boosting)

中南大学报告机器学习的发现(研究)智能化露天矿PPV的极梯度boosting的混合模型

Robotics & Machine Learning Daily News2024，Issue(Nov.28) ：5-6.

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Central South University Reports Findings in Machine Learning (Research on predi ction of PPV in open pit mine used on intelligent hybrid model of extreme gradie nt boosting)

中南大学报告机器学习的发现(研究)智能化露天矿PPV的极梯度boosting的混合模型

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。据新闻报道NewsRx记者从中国湖南报道，研究称，“峰值粒子”速度(PPV)是评价爆破设计参数适宜性的关键指标。然而，现有的准确测量PPV的方法仍然不足。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting from Hunan, People’s Republic of China, by NewsRx journalists, research stated, “Peak particlevelocity (PPV) serves as a critical metric in assessing the appropriateness of blasting design parameters.However, existing methods for accurately measuring PPV remain insuf ficient.”

Key words

Hunan/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024

Robotics & Machine Learning Daily News

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