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Machine-learning application to igneous and metamorphic rock compositions: Quantitative estimation of compositional changes recorded in subduction-related metamorphic rocks (abs.)
S. Matsuno, M. Uno, A. Okamoto
itemdescription
TitleMachine-learning application to igneous and metamorphic rock compositions: Quantitative estimation of compositional changes recorded in subduction-related metamorphic rocks (abs.)
AuthorsS. Matsuno, M. Uno, A. Okamoto
Data nameAnnual Meeting of the Geochemical Society of Japan
Volume70
PagePR0114
Year2023
PublisherGeochemical Society of Japan
LanguageJA
GEOLIS URLhttps://darc.gsj.jp/archives/detail?cls=geolis&pkey=300035229
DOI10.14862/geochemproc.70.0_215
@idhttps://gbank.gsj.jp/ld/resource/geolis/300035229