Robotics & Machine Learning Daily News2024,Issue(Aug.30) :38-39.

Study Data from China University of Geosciences Provide New Insights into Machin e Learning (Identifying Tectonic Settings of Porphyry Copper Deposits Using Zirc on Trace Elements - a Semisupervised Machine Learning Method)

Robotics & Machine Learning Daily News2024,Issue(Aug.30) :38-39.

Study Data from China University of Geosciences Provide New Insights into Machin e Learning (Identifying Tectonic Settings of Porphyry Copper Deposits Using Zirc on Trace Elements - a Semisupervised Machine Learning Method)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting originating in Wuhan, Peopl e’s Republic of China, by NewsRx journalists, research stated,“Porphyry copper deposits (PCDs), as main sources of Cu resources worldwide, have attracted greatattention for both scientific research and mining purposes in the past decades. The formation of PCDsis closely related to magmatic-hydrothermal system formed in both (continental/oceanic) arc and non-arcenvironments.”

Key words

Wuhan/People’s Republic of China/Asia/Chemistry/Cyborgs/Emerging Technologies/Geochemistry/Machine Learning/Chin a University of Geosciences

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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