Robotics & Machine Learning Daily News2024,Issue(Jul.31) :42-43.

Data on Machine Learning Discussed by Researchers at China University of Geoscie nces (Discrimination of Deposit Types Using Magnetite Geochemistry Based On Mach ine Learning)

Robotics & Machine Learning Daily News2024,Issue(Jul.31) :42-43.

Data on Machine Learning Discussed by Researchers at China University of Geoscie nces (Discrimination of Deposit Types Using Magnetite Geochemistry Based On Mach ine Learning)

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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 Beijing, Peo ple’s Republic of China, by NewsRx journalists, research stated, “Theapplicatio n of trace elements in magnetite for deposit genesis research is significant, hi ghlighting itspotential as a valuable mineral exploration tool. However, tradit ional low-dimensional analysis methodsare not effective in revealing the geneti c types of deposits using magnetite trace elements, as they fail tofully utiliz e the rich high-dimensional information provided by magnetite trace element anal ysis.”

Key words

Beijing/People’s Republic of China/Asi a/Chemistry/Cyborgs/Emerging Technologies/Geochemistry/Machine Learning/Ch ina 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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