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

Investigation of Prediction Model for Engineering Geomorphologic Classification using Convolutional Neural Network (S22-15)(abs.)

Authors=AKAGI Sho, HAYAKAWA Toshihiko

Journal/Book_names=Programme and Abstracts, the Seismological Society of Japan, Fall Meeting (CD-ROM)

volume=2019

pages=S22-15

Publish_year=2019

Publish_Country=JPN

Publisher=Seismological Society of Japan

Language_of_Text=JA

ID=201971612

@id=https://gbank.gsj.jp/ld/resource/geolis/201971612