Generative Adversarial Networks-Based Ground-Motion Model for Crustal Earthquakes in Japan Considering Detailed Site Conditions

被引：0
|
作者：
Matsumoto, Yuma [1 ,2 ]
Yaoyama, Taro [1 ]
Lee, Sangwon [1 ]
Hida, Takenori [3 ]
Itoi, Tatsuya [1 ]
机构：
[1] Department of Architecture, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan
[2] Japan Society for the Promotion of Science, Tokyo, Japan
[3] Graduate School of Science and Engineering, Ibaraki University, Ibaraki, Japan
来源：
Bulletin of the Seismological Society of America | / 114卷 / 06期
基金：
日本学术振兴会;
关键词：
Earthquakes - Neural networks - Shear flow - Shear stress;
D O I：
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中图分类号：
学科分类号：
摘要：
引用
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页码：2886 / 2911
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