Deep Neural Networks for Creating Reliable PmP Database With a Case Study in Southern California-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Deep Neural Networks for Creating Reliable PmP Database With a Case Study in Southern California

Published:2022-04 Issue:4 Volume:127 Page:
ISSN:2169-9313
Container-title:Journal of Geophysical Research: Solid Earth
language:en
Short-container-title:JGR Solid Earth

Author:

Ding Wen¹^ORCID,Li Tianjue²³^ORCID,Yang Xu⁴^ORCID,Ren Kui¹^ORCID,Tong Ping²³⁵^ORCID

Affiliation:

1. Department of Applied Physics and Applied Mathematics Columbia University New York NY USA

2. Division of Mathematical Sciences School of Physical and Mathematical Sciences Nanyang Technological University Singapore Singapore

3. Earth Observatory of Singapore Nanyang Technological University Singapore Singapore

4. Department of Mathematics University of California Santa Barbara CA USA

5. Asian School of the Environment Nanyang Technological University Singapore Singapore

Funder

National Science Foundation

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Geochemistry and Petrology,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021JB023830

Reference34 articles.

1. Machine learning and earthquake forecasting—next steps

2. Rheology of the Lower Crust and Upper Mantle: Evidence from Rock Mechanics, Geodesy, and Field Observations

3. Seismic velocity structure and composition of the continental crust: A global view

4. Automatic Identification of Mantle Seismic Phases Using a Convolutional Neural Network

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An eikonal equation-based earthquake location method by inversion of multiple phase arrivals;Science China Earth Sciences;2024-05-20

2. CREDIT-X1local: A reference dataset for machine learning seismology from ChinArray in Southwest China;Earthquake Science;2024-04

3. Recent advances in earthquake seismology using machine learning;Earth, Planets and Space;2024-02-28

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3