A generalized ground-motion model for consistent mainshock–aftershock intensity measures using successive recurrent neural networks

被引：0
|
作者：
Fayaz, Jawad [1 ,2 ]
Galasso, Carmine [1 ,3 ]
机构：
[1] Department of Civil, Environmental, and Geomatic Engineering, University College London, London,WC1E 6BT, United Kingdom
[2] School of Computing, Engineering, and Digital Technologies, Teesside University, Middlesbrough,TS1 3BX, United Kingdom
[3] Scuola Universitaria Superiore IUSS Pavia, Pavia,27100, Italy
来源：
Bulletin of Earthquake Engineering | 2022年 / 20卷 / 12期
关键词：
This research is funded by the European Union’s Horizon 2020 research and innovation program; expressly grant agreement number 821046: TURNkey Towards more Earthquake-resilient Urban Societies through a Multi-sensor-based Information System enabling Earthquake Forecasting; Early Warning and Rapid Response actions;
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摘要：
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页码：6467 / 6486
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