Robotics & Machine Learning Daily News2024,Issue(Feb.12) :60-61.DOI:10.1016/j.oregeorev.2023.105841

Reports from China University of Geosciences Add New Data to Findings in Machine Learning (Machine Learning Prediction of Mafic-ultramafic Rock-related Cr-spinel Formation Environments and Its Application To the Tectonic Settings of Magmatic ...)

Robotics & Machine Learning Daily News2024,Issue(Feb.12) :60-61.DOI:10.1016/j.oregeorev.2023.105841

Reports from China University of Geosciences Add New Data to Findings in Machine Learning (Machine Learning Prediction of Mafic-ultramafic Rock-related Cr-spinel Formation Environments and Its Application To the Tectonic Settings of Magmatic ...)

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Abstract

New research on Machine Learning is the subject of a report. According to news reporting originating from Beijing, People's Republic of China, by NewsRx correspondents, research stated, "This study uses the random forest machine learning algorithm to classify and predict Cr-spinel formation en-vironments in mafic-ultramafic rocks. Cr-spinel is an early-crystallized oxide phase in these rocks and exhibits significant compositional variations that provide valuable insights into their formation environments."

Key words

Beijing/People's Republic of China/Asia/Algorithms/Cyborgs/Emerging Technologies/Machine Learning/China University of Geosciences

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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参考文献量56
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