In:
Journal of Geophysical Research: Solid Earth, American Geophysical Union (AGU), Vol. 127, No. 11 ( 2022-11)
Abstract:
We design a multistation‐based graph neural network for earthquake source characterization Both geographic distance and waveform feature similarity are considered in a graph convolutional neural network for feature combination Our network is capable of automatically selecting and combining relevant seismic stations to characterize earthquake source parameters
Type of Medium:
Online Resource
ISSN:
2169-9313
,
2169-9356
DOI:
10.1029/2022JB024401
Language:
English
Publisher:
American Geophysical Union (AGU)
Publication Date:
2022
detail.hit.zdb_id:
2016813-5
detail.hit.zdb_id:
161666-3
detail.hit.zdb_id:
3094197-0
SSG:
16,13
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