Robotics & Machine Learning Daily News2024,Issue(Nov.15) :13-14.

Findings on Machine Learning Reported by Investigators at China University of Ge osciences (Mineral Prospectivity Mapping Using Semi-supervised Machine Learning)

中国通用电气科学大学研究人员报告的机器学习发现(半监督机器学习矿物远景图)

Robotics & Machine Learning Daily News2024,Issue(Nov.15) :13-14.

Findings on Machine Learning Reported by Investigators at China University of Ge osciences (Mineral Prospectivity Mapping Using Semi-supervised Machine Learning)

中国通用电气科学大学研究人员报告的机器学习发现(半监督机器学习矿物远景图)

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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编辑从中国人民共和国武汉报道,研究称,"近年来,"人们对应用人工智能技术来支持矿产勘探。各种有监督的机器学习(ML)算法被引入到矿产远景填图场(MPM),作为ML模型可以自动构造复杂体已知矿床与勘探数据之间的关系。

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 out of Wuhan, People’s Republ ic of China, by NewsRx editors, research stated, “Recent yearshave seen great r esearch enthusiasm for the application of artificial intelligence techniques to supportmineral exploration. Various supervised machine learning (ML) algorithms have been introduced to thefield of mineral prospectivity mapping (MPM), as ML models can automatically construct the complexrelationships between known mine ral deposits and exploration data.”

Key words

Wuhan/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/China University of Geoscienc es

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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