Seismological Society of Japan Fall Meeting
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Room CSpecial session : S22. Potentiality of Machine Learning in Seismology

[S22]AM-2

Wed. Sep 18, 2019 10:45 AM - 12:00 PM JST
Wed. Sep 18, 2019 1:45 AM - 3:00 AM UTC
ROOM C Research Bldg No 8 NS Hall
chairperson:Hisahiko Kubo(NIED), Yuki Kodera(Meteorological Research Agency, JMA)
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10:45 AM - 11:00 AM JST(1:45 AM - 2:00 AM UTC)

[S22-05]Development of 3D Convolutional Neural Network to locate hypocenter with theoretical seismograms of time series as training data.

*Daisuke Sugiyama1, Seiji Tsuboi1 (1. JAMSTEC)
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11:00 AM - 11:15 AM JST(2:00 AM - 2:15 AM UTC)

[S22-06]Discrimination of earthquakes and tectonic tremor signals by applying a convolutional neural network to running spectral images

*Masaru Nakano1, Daisuke Sugiyama1, Takane Hori1, Tatsu Kuwatani1, Seiji Tsuboi1 (1. JAMSTEC)
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11:15 AM - 11:30 AM JST(2:15 AM - 2:30 AM UTC)

[S22-07]An unsupervised automatic classification algorithm for continuous seismic records using a nonparametric Bayesian approach

*Yuki Kodera1, Shin'ichi Sakai2, Takahito Nishimiya1 (1. Meteorological Research Institute, Japan Meteorological Agency, 2. Earthquake Research Institute, the University of Tokyo)
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11:30 AM - 11:45 AM JST(2:30 AM - 2:45 AM UTC)

[S22-08]Study on Site-specific Ground Motion Evaluation Models Utilizing Machine Learning Method Considering Epicentral Directions

*Toru Ishii1, Atsuko Oana1, Kensuke Wada1 (1. Shimizu Corporation)
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11:45 AM - 12:00 PM JST(2:45 AM - 3:00 AM UTC)

[S22-09]Study on Ground Motion Evaluation Models for Kanto Region Utilizing Machine Learning Method

*Atsuko Oana1, Toru Ishii1, Kensuke Wada1 (1. Shimizu Corporation)
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