首页|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)
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)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
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.”
BeijingPeople’s Republic of ChinaAsi aChemistryCyborgsEmerging TechnologiesGeochemistryMachine LearningCh ina University of Geosciences
NETL
NSTL
