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The fast quality control strategy for P-wave receiver functions based on AlexNet and wiggle plotOA

The fast quality control strategy for P-wave receiver functions based on AlexNet and wiggle plot

Jiajun Chen;Chuntao Liang;Rui Xu

Earthquake Research Center,Chengdu University of Technology,Chengdu 610059,ChinaEarthquake Research Center,Chengdu University of Technology,Chengdu 610059,China||State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation,Chengdu University of Technology 610059,Chengdu,ChinaBeijing University of Science and Technology,Beijing 100089,China

receiver functionautomated quality controldeep learningAlexNetwiggle plot

receiver functionautomated quality controldeep learningAlexNetwiggle plot

《地震学报(英文版)》 2026 (2)

140-155,16

This study was partially supported by the National Natural Science Foundation of China(No.42174071),the National Key Research and Development Program of China(No.2022YFF0800601)and Sichuan Key Research and Development Program(No.2023YFS0433).We thank the developers of PyTorch.The implementation code of our proposed model can be found at https://github.com/Patrickickyourass/RFPicClassifier.

10.1016/j.eqs.2026.01.003

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