*Mitsuko Furumura1, Yoko Ogawa2, Kazuo Sakamoto2, Ritsuko S. Matsu'ura1 (1.Research Division, Earthquake Research Center, Association for the Development of Earthquake Prediction, 2.KOZO KEIKAKU ENGINEERING Inc.)
S (Solid Earth Sciences ) » S-CG Complex & General
[S-CG60] Toward Discoveries in Solid Earth Sciences by Machine Learning
convener:Takahiko Uchide(Research Institute of Earthquake and Volcano Geology, Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology (AIST)), Yuki Kodera(Meteorological Research Institute, Japan Meteorological Agency), Hisahiko Kubo(National Research Institute for Earth Science and Disaster Resilience)
The recent development of the machine learning techniques including the deep learning is leading innovations in various fields. The applications of these techniques, for example, the classification, the pattern recognition, and the regression of data, to solid earth sciences are also now under development. On the other hand, there are concerns on the human-interpretability of the deep learning.
This session will provide an opportunity to share the application studies to various fields in solid earth science and inspire each other. In particular, we encourage contributions which made discoveries in solid earth sciences. We also look forward to studies addressing the black box issue of the deep learning.
*Cyril Juliani1 (1.Norwegian University of Science and Technology (NTNU))
*Tomohisa Okazaki1, Tomoharu Iwata1,2, Asako Iwaki3, Hiroyuki Fujiwara3, Naonori Ueda1 (1.Center for Advanced Intelligence Project, RIKEN, 2.NTT Communication Science Laboratories, 3.National Research Institute for Earth Science and Disaster Resilience)
*Karianne J. Bergen1 (1.School of Engineering and Applied Sciences, Harvard University)
*Takahiko Uchide1 (1.Geological Survey of Japan, AIST)