Deep neural networks for creating reliable PmP database with a case study in Southern California

• Main Authors: Ding, Wen, Li, Tianjue, Yang, Xu, Ren, Kui, Tong, Ping
• Other Authors: School of Physical and Mathematical Sciences
• Format: Article
• Language: English
• Published: 2023
• Subjects: Science::Physics; Artificial Neural Network; Seismic Data
• Online Access: https://hdl.handle.net/10356/170958
• Institution: Nanyang Technological University

Recent progresses in artificial intelligence and machine learning make it possible to automatically identify seismic phases from exponentially growing seismic data. Despite some exciting successes in automatic picking of the first P- and S-wave arrivals, auto-identification of later seismic phase...