首页|New Research on Machine Learning from Chinese Academy of Sciences Summarized (Identifying serpentine minerals by their chemical compositions with machine learning)
New Research on Machine Learning from Chinese Academy of Sciences Summarized (Identifying serpentine minerals by their chemical compositions with machine learning)
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NETL
NSTL
Mineralogical Soc Amer
Investigators publish new report on artificial intelligence. According to news originating from Guangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “The three main serpentine minerals, chrysotile, lizardite, and antigorite, form in various geological settings and have different chemical compositions and rheological properties.”
Chinese Academy of SciencesGuangzhouPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesInorganic ChemicalsMachine LearningMinerals
NETL
NSTL
Mineralogical Soc Amer
