Geological Literature
Towards Real-Time Seismic Intensity Prediction Using Deep Learning:Developing a Prediction Model with Relatively Little Training Data and Validating Its Performance (SCG55-P01)(poster session)(abs.)
Momoko Nakamura, Yuji Nakamura, Hiroki Uematsu, Yukino Yazaki, Ahyi Kim
| item | description |
|---|---|
| Title | Towards Real-Time Seismic Intensity Prediction Using Deep Learning:Developing a Prediction Model with Relatively Little Training Data and Validating Its Performance (SCG55-P01)(poster session)(abs.) |
| Authors | Momoko Nakamura, Yuji Nakamura, Hiroki Uematsu, Yukino Yazaki, Ahyi Kim |
| Data name | Abstracts, Japan Geoscience Union Meeting (online) |
| Volume | 2022 |
| Page | SCG55-P01 |
| Year | 2022 |
| Publisher | Japan Geoscience Union |
| Language | JA |
| GEOLIS URL | https://darc.gsj.jp/archives/detail?cls=geolis&pkey=300029783 |
| Link | |
| @id | https://gbank.gsj.jp/ld/resource/geolis/300029783 |