Geological Literature Search (GEOLIS) (Geological Survey of Japan / AIST)

Development of a method to estimate hydrothermal simulation parameters: a deep learning approach (abs.)

Authors=Akihiro Shima, Kazuya Ishitsuka, Weiren Lin, Elvar K. Bjarkason, Anna Suzuki

Journal/Book_names=GEOINFORUM-2022 Annual Meeting Abstracts (online)

volume=33

pages=23-24

Publish_year=2022

Publisher=Japan Society of Geoinformatics

Language_of_Text=JA

ID=300025068

@id=https://gbank.gsj.jp/ld/resource/geolis/300025068