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

Estimation of hydrothermal simulation parameters using deep learning and evaluation of training data by multidimensional scaling (P01)(poster session)(abs.)

Authors=A. Shima, K. Ishitsuka, W. Lin, E. K. Bjarkason, A. Suzuki

Journal/Book_names=Annual Meeting, Geothermal Research Society of Japan, Abstracts with Programs

volume=2021

pages=115-115

Publish_year=2021

Publisher=Geothermal Research Society of Japan

Language_of_Text=JA

ID=300019003

@id=https://gbank.gsj.jp/ld/resource/geolis/300019003