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

Insight into machine-learning model and prediction result: Case of random forest predictor for ground-motion intensity (S22P-05)(poster session)(abs.)

Authors=KUBO Hisahiko, KUNUGI Takashi, SUZUKI Wataru, KIMURA Takeshi, AOI Shin

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

volume=2019

pages=S22P-05

Publish_year=2019

Publisher=Seismological Society of Japan

Language_of_Text=JA

ID=201971823

@id=https://gbank.gsj.jp/ld/resource/geolis/201971823