[S-CG62] Potentiality of Machine Learning in Solid Earth Sciences

Sun. May 26, 2019 9:00 AM - 10:30 AM 304 (3F)

convener:Takahiko Uchide(Research Institute of Earthquake and Volcano Geology, Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology (AIST)), Hirokuni Oda(Institute of Geology and Geoinformation, Geological Survey of Japan, AIST), Chairperson:Takahiko Uchide(Geological Survey of Japan, AIST), Hirokuni Oda

The recent development of the machine learning techniques including the deep learning is leading innovations in various fields. The applications of these techniques to solid earth sciences are also expected to develop new frontiers by, for example, the classification, the pattern recognition, and the regression of data. 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. We also look forward to studies addressing the black box issue of the deep learning.

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9:00 AM - 9:20 AM

[SCG62-01] The Promise of Machine Learning in Solid Earth Geoscience: Examples from Seismology

★Invited Papers

*Gregory C Beroza¹, Mostafa Mousavi¹, Weiqiang Zhu¹, Karianne J Bergen², Paul A Johnson³, Maarten V De Hoop⁴ (1.Stanford University, 2.Harvard University, 3.Los Alamos National Laboratory, 4.Rice University)

9:20 AM - 9:35 AM

[SCG62-02] Automatic Approach to Low-Frequency Earthquakes Detection in Southwest Japan Based on Deep Learning Technique

*Yu Junyu¹, Yuji Yagi¹, Takanori Matsuzawa², Ryo Okuwaki¹ (1.Graduate School of Life and Environmental Sciences,University of Tsukuba, Tsukuba, 2.National Research Institute for Earth Science and Disaster Resilience)

9:35 AM - 9:50 AM

[SCG62-03] Broadband ground motion waveform synthesis utilizing AI-based upsampling technique (2)

*Takahiro Maeda¹, Asako Iwaki¹, Hiroyuki Fujiwara¹, Kazutoshi Matsuzaki², Hiromitsu Tomozawa², Yuji Mori², Misato Tsuchiya², Naofumi Miyata² (1.National Research Institute for Earth Science and Disaster Resilience, 2.Mizuho Information & Research Institute, Inc.)

9:50 AM - 10:05 AM

[SCG62-04] Forecast trial of postseismic deformetion after the 2011 Tohoku-Oki earthquake by recurrent neural network

*Norifumi Yamaga¹, Yuta Mitsui² (1.Graduate School of Science and Technology, Shizuoka University, 2.Shizuoka University)

10:05 AM - 10:25 AM

[SCG62-05] Deep Learning Approaches for Eruption Prediction of Sakurajima

★Invited Papers

*Tsuyoshi Murata¹ (1.Tokyo Institute of Technology)

Discussion (10:25 AM - 10:30 AM)

Session information

[S-CG62] Potentiality of Machine Learning in Solid Earth Sciences

[SCG62-01] The Promise of Machine Learning in Solid Earth Geoscience: Examples from Seismology

★Invited Papers

[SCG62-02] Automatic Approach to Low-Frequency Earthquakes Detection in Southwest Japan Based on Deep Learning Technique

[SCG62-03] Broadband ground motion waveform synthesis utilizing AI-based upsampling technique (2)

[SCG62-04] Forecast trial of postseismic deformetion after the 2011 Tohoku-Oki earthquake by recurrent neural network

[SCG62-05] Deep Learning Approaches for Eruption Prediction of Sakurajima

★Invited Papers

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