Linked Data Service of GSJ
Geological Literature
A hybrid approach of Machine learning and Ensemble Kalman Filter for estimating frictional parameters in Nankai megaquake cycle simulator (S22-11)(abs.)
YAMAMOTO Yu, HIRAHARA Kazuro, HACHIYA Hirotaka, TAKAHASHI Atsushi, UEDA Naonori
itemdescription
TitleA hybrid approach of Machine learning and Ensemble Kalman Filter for estimating frictional parameters in Nankai megaquake cycle simulator (S22-11)(abs.)
AuthorsYAMAMOTO Yu, HIRAHARA Kazuro, HACHIYA Hirotaka, TAKAHASHI Atsushi, UEDA Naonori
Data nameProgramme and Abstracts, the Seismological Society of Japan, Fall Meeting (CD-ROM)
Volume2019
PageS22-11
Year2019
PublisherSeismological Society of Japan
LanguageJA
GEOLIS URLhttps://darc.gsj.jp/archives/detail?cls=geolis&pkey=201971608
@idhttps://gbank.gsj.jp/ld/resource/geolis/201971608