地震学报（英文版）2023，Vol.36Issue(2)：113-131,19.
Benchmark on the accuracy and efficiency of several neural network based phase pickers using datasets from China Seismic Network
Benchmark on the accuracy and efficiency of several neural network based phase pickers using datasets from China Seismic Network
摘要
关键词
neural network/deep learning/seismic phase picking/earthquake detection/open-source scienceKey words
neural network/deep learning/seismic phase picking/earthquake detection/open-source science引用本文复制引用
Ziye Yu,Weitao Wang,Yini Chen..Benchmark on the accuracy and efficiency of several neural network based phase pickers using datasets from China Seismic Network[J].地震学报（英文版）,2023,36(2):113-131,19.基金项目
This work was jointly supported by the National Natural Science Foundation of China(No.42074060)and the Special Fund,Institute of Geophysics,China Earthquake Administration(CEA-IGP)(Nos.DQJB19B29,DQJB20B15,and DQJB22Z01).Y.N.Chen was also supported by XingHuo Project,CEA(No.XH211103).We thank our colleagues at the China Earthquake Administration for maintaining thousands of stations and labeling original seismic phases through years of hard work.We also thank Dr.Zhao Ming for providing insights into the DiTing dataset and we thank the reviewers for their valuable suggestions. （No.42074060）
