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

Using Machine Learning to Estimate Geotechnical Information of Yokohama City Based on Ground Motion Records (D11-10)

Authors=Masafumi KUBOTA, Wen LIU, Yoshihisa MARUYAMA

Journal/Book_names=Proceedings of the Conference on Earthquake Engineering, JSCE (CD-ROM)

volume=42

pages=1-11

Publish_year=2022

Publisher=Japan Society of Civil Engineers

Language_of_Text=JA

Language_of_Abs=JA, EN

ISSN=21890080

ID=300026723

@id=https://gbank.gsj.jp/ld/resource/geolis/300026723