首页|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 ...)
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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NETL
NSTL
Elsevier
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."
BeijingPeople's Republic of ChinaAsiaAlgorithmsCyborgsEmerging TechnologiesMachine LearningChina University of Geosciences
NETL
NSTL
Elsevier
