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

Development of a deep learning approach to estimate numerical simulation parameters of a hydrothermal system: Evaluation using a two-dimensional model (MGI33-08)(abs.)

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

Journal/Book_names=Abstracts, Japan Geoscience Union Meeting (online)

volume=2021

pages=MGI33-08

Publish_year=2021

Publisher=Japan Geoscience Union

Language_of_Text=JA

ID=300021141

@id=https://gbank.gsj.jp/ld/resource/geolis/300021141